Artificial Intelligence Specialist
New York, NY jobs
Thank you for your consideration. Please apply for further information
Term: Full Time
$: 85-150k _ Equity
Role: Forward Deployment Engineer/Full Stack Developer
Vertical: Start Up
Job Details
Job Overview
Key Responsibilities: Embed with law enforcement teams, understand their workflows, and deploy and configure software systems to enhance investigation efficiency. Translate field feedback into product features and ship full-stack solutions using Python, React, TypeScript, and AI/ML APIs. Technical
Qualifications: 5+ years of ML (PyTorch, TensorFlow) and 2+ years with LLMs. Proven track record in deploying production AI systems.
Responsibilities
This is a founding Forward-Deployed Engineer role. You sit at the intersection of product, engineering and field work. You will embed directly with detectives, analysts and prosecutors, learn their workflows in detail, and use that context to deploy the platform and shape the roadmap.
This is a full-time role for an engineer who wants to own real problems end to end, work closely with users, and see their work show up in live investigations.
What you will do:
Spend significant time on-site with law-enforcement customers to understand how they investigate cases and where evidence review slows them down.
Deploy and configure the product for new agencies, load and validate data, and make sure investigators can rely on the system in day-to-day work.
Translate field feedback into concrete product ideas and partner closely with the founders to turn those into features.
Build and ship full-stack features using Python, React, TypeScript and AI/ML APIs, from new workflows in the UI to backend improvements that make evidence search faster and more reliable.
Help design and refine processes for pilots, rollouts and training so that new departments can adopt the product smoothly.
Act as a trusted technical partner for investigators and leadership teams, helping them understand what is possible with the product.
Qualifications
Qualifications
Machine Learning Expertise
5+ years of experience in ML (PyTorch, TensorFlow).
2+ years of hands-on experience working with LLMs (Hugging Face, OpenAI, Anthropic).
AI System Development
Proven experience building and deploying production AI systems, including RAG and vector search.
Knowledge of prompt engineering, AI safety, and content filtering best practices.
Comfort architecting scalable infrastructure that integrates into complex environments.
Technical Proficiency
Familiarity with Rails is a plus, but not required - strong candidates can ramp up quickly.
Experience working with REST APIs, PostgreSQL, ActiveRecord, and RSpec.
Understanding of frameworks like LangChain or LlamaIndex, or the ability to learn them rapidly.
Communication & Collaboration
Proven ability to engage directly with users, customers, and cross-functional teams to gather feedback and shape technical solutions.
Comfortable explaining complex concepts clearly to both technical and non-technical stakeholders.
Experience collaborating with product and design teams to align on goals and iterate quickly.
Strong written and verbal communication skills.
Builder Mindset
Thrives in ambiguity, learns quickly, and iterates fast in lean environments.
Excited to work in a small, high-impact team where communication and ownership are key.
Ideal Candidate
Ideal Candidate Profile
Field-Driven Engineer - Strong full-stack engineer (Python + modern frontend) who enjoys leaving the office, sitting with users, and seeing how software actually gets used in the wild.
Customer-Obsessed Problem Solver - Comfortable building trust with detectives and agency leadership, asking good questions, and turning messy requirements into clear product and technical decisions.
High-Ownership Operator - Thrives in tiny, fast-moving teams, takes full responsibility for deployments and outcomes, and is happy to do whatever the situation requires (from debugging to running training sessions).
Mission-Motivated - Energized by improving public safety and the criminal-justice system, and comfortable working with sensitive, sometimes difficult case material.
Startup-Ready - Has prior experience in early-stage or talent-dense environments and is excited by ambiguity, rapid iteration, and having a big say in how the product and company evolve.
Mission
The group helps law enforcement, prosecutors, attorneys, and investigators quickly find the truth in overwhelming volumes of digital evidence. Their “digital analyst” platform securely transcribes, translates, searches, organizes, and analyzes case files-such as jail communications, search-warrant returns, and scanned documents-across many languages. By turning evidence overload into clear, searchable insight, the group lets agencies focus on solving cases and delivering accurate, fair justice instead of manually combing through data.
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What you can expect
Day to Day
You'll spend most of your time in the field with users and turning their needs into product. In practice, that looks like:
Embedding on-site with detectives, analysts, and prosecutors to watch how they investigate cases, understand their workflows, and uncover pain points.
Deploying and configuring the platform for new departments, loading data, troubleshooting issues, and making sure investigators can rely on the system in day-to-day work.
Translating what you see in the field into clear product ideas and engineering tasks, then building and shipping full-stack features using Python, React, TypeScript, and AI/ML APIs.
Owning pilots end-to-end: planning deployment, running training sessions, gathering feedback, and iterating quickly with the founding team.
Traveling regularly (25-75% of your time) to customer sites across the U.S. while staying tightly looped in with the core team in New York.
Team
The team is lean, highly technical, and mission-driven - everyone ships code, talks to users, and contributes to product direction.
As one of the first Forward-Deployed Engineers, you'll shape how the FDE function works at the firm from playbooks for deployments to how feedback flows back into the roadmap.
Growth
This is a founding-level role with a lot of surface area:
Own critical customer deployments and relationships from day one, becoming the go-to technical partner for some of the firm's key law-enforcement agencies.
Directly influence product direction by bringing field context to every roadmap discussion and helping decide what gets built next.
Help define and later scale the Forward-Deployed Engineering function - including processes, tooling, and eventually mentoring or leading additional FDEs as the team grows.
Build a rare track record of high-impact, user-embedded engineering work at a YC-backed, seed-stage startup tackling complex, real-world problems.
Business Intelligence Specialist
New York, NY jobs
Job Summary & Skills Desired:
Hands-on installation and configuration of all components of OBIEE version 12g;
Experience in Administrating various OBIEE environment with Large number of users and provide optimum system uptime and performance.
Worked extensively on OBIEE Admin tool, OBIEE Presentation services, interactive dashboards, BI publisher
Duties:
Migration of the RDP/Catalogs to Prod
Working closely with BI development team to define
Administration of OBIEE environments
Applying patches and fixes
Artificial Intelligence Specialist
Chicago, IL jobs
AI Architect
A highly experienced AI Architect with 10-12 years of professional experience in designing, building, and scaling enterprise-grade AI and Generative AI (GenAI) solutions across leading public cloud platforms (Azure, AWS, GCP). The ideal candidate will play a strategic role in AI solution architecture, data & model engineering, cloud integration, and MLOps/LLMOps frameworks, while working closely with business and technology teams to drive measurable outcomes through AI innovation.
Key Responsibilities
• AI Solution Architecture:
• Enterprise Integration:
• GenAI Solution Design:
• MLOps & LLMOps:
• Data Architecture Collaboration:
• Stakeholder Engagement:
• Innovation & Research:
• Performance Optimization:
• Mentorship:
Technical Skills & Competencies
AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, Lang Chain, LlamaIndex, Open AI API, etc.
GenAI & LLMs: Experience with GPT-4/4o, Claude, Gemini, Mistral, LLaMA, fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering.
Cloud Platforms: Deep understanding of Azure AI (OpenAI, AI Search, ML), AWS (SageMaker, Bedrock, Comprehend, Lex), GCP Vertex AI.
MLOps & LLMOps: Azure ML Pipelines, Sage Maker Pipelines, MLflow, Kubeflow, or custom CI/CD for AI.
Data & Integration: Experience with Data Lakes, Databricks, Synapse, Kafka, REST/GraphQL APIs, and vector DBs like Pinecone, We aviate, FAISS, Milvus, or Cosmos DB.
Programming: Python, SQL, REST APIs, YAML, Docker, Kubernetes, Terraform (IaC).
Responsible AI: Understanding of bias detection, model explain ability, and governance principles.
Architecture Design: Expertise in TOGAF/Well-Architected frameworks and AI reference architectures.
Qualifications
Proven experience in designing and delivering AI solutions at enterprise scale.
Cloud certifications (Azure AI Engineer, AWS ML Specialty, or GCP ML Engineer) preferred.
Strong communication and presentation skills for stakeholder engagement and executive alignment.
Junior Strategic Sourcing Analyst
Vienna, VA jobs
This is a JUNIOR level role.
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It is a hybrid role with 2 days a week in the office in Vienna, VA.
What will you do in this role?
Assist the strategic sourcing organization in collaboration with our partners to align sourcing priorities, source selection, conduct market research, mitigate issues and add value through insights
Preparation, issuance and management of a RFP's/ RFIs
Collaboratively work with cross functional teams to develop business unit requirements and Statement of Works.
Administer the supplier due diligence process including non-disclosure agreements, Source Justification, and intake request triage.
Participates in collaborative handoffs with Procurement to ensure effectively negotiated contracts that meet desirable financial terms and conditions.
Ability to analyze large data sets to ensure objective outcomes
Maintain Relationships with lines of business, team members, management, key stakeholders and external contacts (vendors, etc)
Collaborate with stakeholder groups (Operations, PVM, EPMO, OGC, Information Security, etc) to achieve objectives and ensure alignment with client's strategy and business operations.
Drive partner satisfaction by learning and understanding partner needs, being responsive to issues, integrating partners into procurement/sourcing processes and building relationships with key stakeholders
Support higher level staff with analyzing business unit requirements for leveraging opportunities, supplier recommendations and acquisition planning
What skills should you have for this position?
Bachelor's Degree in Business Administration or a related field, or the equivalent combination of education, training, and experience
Exposure to preparing and reviewing RFPs, RFIs, SOWs
Exposure to strategic sourcing, category management, subcontracts management or procurement
Exposure in managing a formalized process of selecting, monitoring and evaluating vendors/vendor contracts
Effective skill exercising initiative and using good judgment to make sound decisions
Basic skill resolving conflicting requests and meeting changing requirements managing multiple priorities independently and/or in a team environment to achieve goals
Effective communicating and presentations skills
Effective relationship building, negotiation and facilitation skills
Postdoctoral Appointee - Artificial Intelligence Data Science - Hybrid
Livermore, CA jobs
About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
* Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
* Extraordinary co-workers
* Some of the best tools, equipment, and research facilities in the world
* Career advancement and enrichment opportunities
* Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
* Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: *********************
* These benefits vary by job classification.
What Your Job Will Be Like
Sandia's AI team 1466 is building DOE's next-generation AI Platform around three pillars Data, Models, and Infrastructure to solve high-impact "lighthouse problems" in agile deterrence, energy dominance, and critical materials. As a Postdoctoral Appointee, you"ll join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments.
Key Responsibilities:
* Build and operate an AI-Ready Lakehouse
* Design and maintain a federated data lakehouse with full provenance/versioning, attribute-based access control, license/consent automation, and agent telemetry services
* Implement automated, AI-mediated ingestion pipelines for heterogeneous sources (HPC simulation outputs, experimental instruments, robotics, sensor streams, satellite imagery, production logs)
* Enforce Data Security & Assurance
* Develop a Data Health & Threat program: dataset fingerprinting, watermarking, poisoning/anomaly detection, red-team sampling, and reproducible training manifests
* Configure secure enclaves and egress processes for CUI, Restricted Data, and other sensitive corpora with attestation and differential-privacy where required
* Define and Implement Data Governance
* Establish FAIR-compliant metadata standards, data catalogs, and controlled-vocabulary ontologies
* Automate lineage tracking, quality checks, schema validation, and leak controls at record-level granularity
* Instrument AI Workflows with Standardized Telemetry
* Deploy Agent Trace Schema (ATS) and Agent Run Record (ARR) frameworks to log tool calls, decision graphs, human hand-offs, and environment observations
* Treat agent-generated artifacts (plans, memory, configurations) as first-class data objects
* Collaborate Across Pillars
* Work with Models and Interfaces teams to integrate data services into training, evaluation, and inference pipelines
* Partner with Infrastructure engineers to optimize data movement, tiered storage, and high-bandwidth networking (ESnet) between HPC, cloud, and edge
* Engage domain scientists and mission leads for agile deterrence, energy grid, and critical materials use cases to curate problem-specific datasets
* Support Continuous Acquisition & Benchmarking
* Design edge-to-exascale data acquisition systems with robotics and instrument integration
* Develop data/AI benchmarks datasets, tools, and metrics for pipeline performance, model evaluation, and mission KPIs
On any given day, you may be called upon to:
* Author an AI-mediated parser for a new experimental instrument, automatically extracting and cataloging metadata
* Implement an attribute-based policy that blocks unapproved data combinations in a classified enclave
* Prototype a streaming pipeline that feeds live sensor data from a nuclear facility into an HPC training queue
* Develop a dashboard that alerts on data drift, pipeline failures, or anomalous records
* Collaborate with MLOps engineers to version datasets alongside model artifacts in CI/CD
The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs.
Qualifications We Require
* Possess, or are pursuing, a PhD in Computer Science, Data Science, Statistics, or a related science or engineering field, PhD must be conferred within five years prior to employment
* Experience or knowledge in these areas:
* Building and maintaining production data pipelines (ETL/ELT) and data warehouses or data lakes
* Programming languages such as Python, SQL, and experience with frameworks like Apache Spark or Dask
* Data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy
* Cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes
* Ability to acquire and maintain a DOE Q-level security clearance
Qualifications We Desire
* Significant data research experience
* Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification
* Experience implementing data governance and metadata management tools (e.g., Apache Atlas, DataHub, Collibra)
* Experience developing and refining data architectures and data flows
* Hands-on background in MLOps and CI/CD for data and ML workflows (e.g., Jenkins, GitLab CI, MLflow)
* Knowledge of human-factors engineering and UX design principles for data platforms
* Knowledge of agile principles and practices and experience working as part of agile teams
* Ability to work effectively in a dynamic, interdisciplinary environment, guiding technical decisions and mentoring junior staff
* Strong written and verbal communication skills, with the ability to present complex data concepts to diverse audiences
* Ability to obtain and maintain a SCI clearance, which may require a polygraph test.
Also, for this posting we are seeking individuals with the following experience:
* Curating and managing scientific or engineering datasets
* Designing and enforcing data policies for classified, export-controlled, or proprietary data
* Data architecture for HPC and edge-computing environments
* Advanced data "munging" fusion techniques for heterogeneous and streaming data sources
* Building data pipelines for feature stores, experiment tracking, and model drift monitoring
* Designing and enforcing data policies for classified, export-controlled, or proprietary data
* Collaborating on public private partnerships or multi-lab federated data efforts
About Our Team
The Center (1400) for Computing Research (CCR) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Center's portfolio spans the spectrum from fundamental research to state-of-the-art applications. Our work includes computer system architecture (both hardware and software); enabling technology for modeling physical and engineering systems; and research in discrete mathematics, data analytics, cognitive modeling, and decision support materials.
You will be part of a multi-disciplinary, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you re passionate about building the data backbone for next-generation AI at scale, we want to hear from you.
Posting Duration
This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.
Position Information
This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.
Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.
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Postdoctoral Appointee - Artificial Intelligence Infrastructure - Hybrid
Livermore, CA jobs
About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
* Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
* Extraordinary co-workers
* Some of the best tools, equipment, and research facilities in the world
* Career advancement and enrichment opportunities
* Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
* Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: *********************
* These benefits vary by job classification.
What Your Job Will Be Like
What Your Job Will Be Like Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. As a Postdoctoral Appointee, you will join the Infrastructure Pillar team to design, develop, and deploy the unified compute-and-data fabric that underpins all mission workflows; from AI model training and simulation steering to real-time inference at experimental and production facilities.
We anticipate multiple hires for the Infrastructure Pillar that collectively span the set of responsibilities and skills described below. Likewise, postdoctoral appointees will be expected to work in conjunction with their Sandia mentors and teams from across Sandia and other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require deep technical insights, considerable innovation, research, and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application!
Key Responsibilities
* Architect and implement the hybrid compute fabric
* Integrate exascale HPC systems with elastic cloud resources and specialized AI accelerator clusters (on-prem and in-cloud)o Deploy ruggedized edge servers and digital-twin
* Infrastructure for sub-millisecond inference and real-time physics simulations
* Develop software infrastructure for agentic workflows integrating modeling and simulations with real-time inference
* Build federated Kubernetes clusters, container registry services, resource registry, and job scheduling abstractions
* Design secure networking and enclaves and evaluate federated training frameworks on secure networks
* Enable observability, provenance, and monitoring
* Provide software-defined, dynamic security enclaves for sensitive data with attested runtime and curated egress
* Deploy unified logging, metrics, dashboards, and trace-analysis across cloud and on-prem environments using OpenTelemetry, Prometheus, ELK, or equivalent
* Support federated identity and access control
* Integrate multiple identity providers, attribute-based access controls, and allocation models for risk-shared governance
* Manage enterprise licensing, token agreements, and software audits for AI and HPC frameworks
* Manage the full lifecycle of the AI platform's infrastructure, including capacity planning, upgrades, documentation, and performance monitoring
* Implement and enforce security best practices within container environments, including Role-Based Access Control (RBAC), secrets management, network policies, and vulnerability scanning.
On any given day, you may be called upon to
* Stand up a new GPU-accelerated cluster, configure Slurm/Kubernetes, and validate performance benchmarks
* Troubleshoot cross-site data transfers over ESnet and optimize WAN throughput for a petabyte-scale lakehouse
* Deploy a hardened enclave for a classified ML training job with differential-privacy egress controls
* Evaluate and develop agentic tools that are optimized for exascale HPC systems
* Deploy and evaluate DOE and industry training and inference frameworks on HPC systems
* Collaborate with the Models team to tune network and storage parameters for distributed training jobs
* Publish and present fundamental insights to laboratory and academic audiences
* Present real-time infrastructure status and forecasts to stakeholders
* Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry
Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
Qualifications We Require
* Possess, or are pursuing, a PhD in Computer Science, Electrical Engineering, Mathematics or a related science or engineering field, PhD must be conferred within five years prior to employment
* Ability to acquire and maintain a DOE Q clearance
Qualifications We Desire
* Strong collaboration skills in dynamic, interdisciplinary teams and experience mentoring junior engineers
* Excellent written and verbal communication skills for both technical and non-technical audiences
* Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment.
* Focus on high-performance or distributed computing
* Experience with:
* Container orchestration (Kubernetes, Docker) and infrastructure as code (Terraform, Ansible)
* Performance evaluation of agentic and federated training frameworks on variety of training and inference workflows
* AI Software infrastructure deployment on complex infrastructure
* Deploying large-scale secure enclaves for CUI and RD applications
* Integrating experimental facilities, robotics, or 3D-printing systems into automated AI workflows
* DOE/NNSA compute and networking environments (Frontier, Aurora, Perlmutter, ESnet)
* Networking: ESnet, VLANs, WAN overlays, encryption, and failover design
* HPC systems administration: Slurm, PBS, Flux
* Cloud platforms: AWS, Azure, GCP
* Storage architectures: Lustre, GPFS, object stores, multi-tier caching
* Observability toolchains: OpenTelemetry, Prometheus, Grafana, ELK, and automated log analytics
* Secure enclave technologies and zero-trust security models
* Implementing DevSecOps principles and security best practices in containerized infrastructure, including network policies, classification management, and vulnerability scanning
* SIEM environments, such as Splunk, and operational management of application infrastructure services
* Working in cross-lab federated teams with shared governance and risk models
* Deep knowledge of performance issues related to training large AI models on HPC systems
* Background in digital-twin or real-time simulation steering architectures
* Ability to obtain and maintain a SCI clearance, which may require a polygraph test.
You will be part of a multi-disciplinary, mission-focused team delivering the computing and data backbone for transformative AI systems. Occasional travel may be required. If you re passionate about building the software infrastructure that powers cutting edge AI systems, we want to hear from you.
About Our Team
The Center for Computing Research (CCR) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Center's portfolio spans the spectrum from fundamental research to state-of-the-art applications. Our work includes computer system architecture (both hardware and software); enabling technology for modeling physical and engineering systems; and research in discrete mathematics, data analytics, cognitive modeling, and decision support materials.
You will be part of a multi-disciplinary, mission-focused team delivering the compute and data backbone for transformative AI systems. Occasional travel may be required. If you're passionate about building the software infrastructure that powers cutting edge AI systems, we want to hear from you.
Posting Duration
This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.
Position Information
This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.
Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.
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* Sign In
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Postdoctoral Appointee - Artificial Intelligence Modeling - Hybrid
Livermore, CA jobs
About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
* Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
* Extraordinary co-workers
* Some of the best tools, equipment, and research facilities in the world
* Career advancement and enrichment opportunities
* Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
* Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: *********************
* These benefits vary by job classification.
What Your Job Will Be Like
Sandia s artificial intelligence (AI) team is building the U.S. Department of Energy s (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. As a Postdoctoral Appointee, you will join the Models Pillar team to architect, develop, and deploy fine-tuned reasoning models, domain foundation models, high-fidelity surrogate models, and autonomous agents. Your work will compress mission timelines by enabling scientists and engineers to explore design spaces, evaluate outcomes, and steer experiments and simulations with transparent, high-assurance AI workflows.
We anticipate multiple hires for the Models Pillar that collectively span the set of responsibilities and skills described below. Likewise, postdoctoral appointees will be expected to work in conjunction with their Sandia mentors and teams from across Sandia and other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require deep technical insights, considerable innovation, research, and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application!
Key Responsibilities
* Research, fine-tune, and certify large reasoning models (LLMs, graph neural nets, vision transformers, etc.) for domain tasks in materials science, chemistry, physics, grid controls, and nuclear security
* Develop and integrate domain foundation models trained or adapted on DOE simulation, experimental, and production data
* Build AI surrogates to accelerate exascale multiphysics simulations, enabling millisecond-scale predictions
* Design and implement multi agent frameworks (hypothesizers, planners, executors, retrievers, assessors) with transparent decision graphs, uncertainty quantification, and audit logs
* Embed continuous learning pipelines: connect model training/evaluation to live telemetry from HPC clusters, experiments, and autonomous labs
* Develop a model repository with metadata, SBOMs, versioning, drift/poisoning surveillance, and periodic recertification
* Develop and implement high-assurance controls: least-privilege execution, runtime shields/tripwires, deterministic fallbacks, cryptographic provenance, and enclave attestation for sensitive workloads
* Collaborate with Data and Infrastructure teams to align model requirements with data lakehouses, compute fabric, and edge inference systems
* Contribute to open-source and internal AI frameworks, toolkits, and best practices for agentic workflows
On any given day, you may be called upon to:
* Prototype a custom transformer for multisensor fusion in an agile-deterrence scenario
* Optimize a surrogate neural network to replace a costly physics submodule in a reactor design simulation
* Design a Planner agent that orchestrates HPC jobs, digital-twin simulations, and robotic chemistry runs
* Run red-team evaluations to stress-test a foundation model for adversarial robustness and fairness
* Package a model into a container with Kubernetes operators for deployment in a classified enclave
* Advise domain scientists on prompt engineering and model-based hypothesis generation
* Publish and present fundamental insights to laboratory and academic audiences
* Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry
Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
Qualifications We Require
* Possess, or are pursuing, a PhD in Computer Science, Electrical Engineering, Mathematics or a related science or engineering field, PhD must be conferred within five years prior to
* Significant research in AI, ML, data science, or a closely related field with thesis or dissertation research
* Expertise with deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python
* Ability to acquire and maintain a DOE Q-level security clearance
Qualifications We Desire
* Strong collaboration skills in dynamic, interdisciplinary teams and experience mentoring junior engineers
* Excellent written and verbal communication skills for both technical and non-technical audiences
* Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment.
* Experience and proficiency with:
* Developing and deploying large language models, multimodal AI systems, or advanced reinforcement-learning agents
* Model optimization techniques: quantization, pruning, distillation
* Hardware acceleration
* MLOps toolchains for CI/CD, experiment tracking, and monitoring: MLflow, Kubeflow, TFX
* C++, CUDA, or other performance-oriented languages/environments
* Contributing to open-source AI frameworks or publishing peer-reviewed research
* Integrating AI workflows with robotics, experimental facilities, or digital twins
* Distributed training frameworks: MPI, Horovod, Ray
* Hyperparameter tuning
* HPC systems
* Implementing secure AI workflows in classified or regulated environments
* Knowledge of human-centered AI principles and UX design for model-driven applications
* Knowledge of high-assurance AI: formal methods, red-teaming, interpretability, and runtime safety
* Ability to obtain and maintain a SCI clearance, which may require a polygraph test.
You will be part of a multi-disciplinary, success-oriented team working on mission-critical AI model development and deployment with national security implications. Occasional travel may be required. If you re passionate about advancing cutting-edge AI algorithms and building the software infrastructure that powers them, we want to hear from you!
About Our Team
The Center for Computing Research (CCR) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Center's portfolio spans the spectrum from fundamental research to state-of-the-art applications. Our work includes computer system architecture (both hardware and software); enabling technology for modeling physical and engineering systems; and research in discrete mathematics, data analytics, cognitive modeling, and decision support materials.
You will be part of a multi-disciplinary, success-oriented team working on mission-critical AI model development and deployment with national security implications. Occasional travel may be required. If you re passionate about advancing cutting-edge AI algorithms and building the software infrastructure that powers them, we want to hear from you.
Posting Duration
This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.
Position Information
This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.
Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.
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AIML - Machine Intelligence - Machine Learning Researcher- MIND
Seattle, WA jobs
The Machine Intelligence, Neural Design (MIND) team is leading Apple-wide innovation on HW/SW co-design for efficient inference. We are seeking a highly motivated, results-driven team player with a strong background in machine learning and systems, along with hands-on software development experience. The role focuses on optimizing mobile-cloud hybrid inference for multi-modal large language models (LLMs), with emphasis on both systems-level innovation and ML co-design. Our mission is to advance the state-of-art in ML optimization techniques for efficient inference. Thus, the ideal candidate for this position is a researcher and engineer who will relentlessly push the existing boundary with out-of-box thinking, and materialize the idea with the very details to impact both Apple partners and research communities.
* Research and develop ML optimization techniques for efficient on-device ML * Materialize the ideas/concepts and demonstrate the practical value in an industrial environment * Work with HW/SW teams to productize the outcome of the work
Experience with Large-scale model training/tuning Experience with processing multiple modalities (i.e., audio/vision) with Foundational Models. Experience with backend compilation, HW/SW co-design, and/or performance optimization Understanding ML accelerations and architectures
Expert in Python/PyTorch programming Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc). Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc). Excellent communication and writing skills Ph.D. in CS/CE or related fields
Artificial Intelligence Sales Specialist III, Google Cloud
Sunnyvale, CA jobs
Apply share * link Copy link * email Email a friend info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA; New York, NY, USA.
Minimum qualifications:
* Bachelor's degree or equivalent practical experience.
* 10 years of experience in a business role in enterprise software, cloud space, or Artificial Intelligence (AI) space.
* Experience in identifying Artificial Intelligence (AI) use cases to solve customer tests or selling Artificial Intelligence (AI) technology to clients.
Preferred qualifications:
* Experience in working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build business cases for transformation with implementation plans, and close agreements.
* Experience in prioritizing, planning, and organizing solution-based business activity within business cycles, including qualifying accounts and leveraging our partner ecosystem.
* Experience in supporting executive relationships, and developing new territories/accounts while ensuring customer success, adoption and expansion.
* Experience in carrying and exceeding business goals.
* Experience in semiconductor industry.
* Knowledge of market trends, products, and solutions including foundational technical understanding of Cloud and Artificial Intelligence.
About the job
As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. You will work with customers to deliver true business value, demonstrate product functionality, and provide an overview of key business use cases. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying ways to multiply impact of the team as a whole to motivate overall value for Google Cloud.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $134,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
* Build relationships with customers as a subject matter expert and trusted advisor, manage business cycles, identify solution use cases, and collaborate long-term direction of accounts.
* Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting your territory's business.
* Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, motivate pipeline and business growth, close agreements, understand the customer, and provide prospect and customer experience.
* Develop and execute account plans informed by our responsible Artificial Intelligence (AI) framework across an assigned territory or market.
* Work with multiple customers and opportunities, understanding each customer's technology footprint and strategy, growth plans, business drivers and how they can transform their business using our technologies.
Artificial Intelligence Sales Specialist III, Google Cloud
New York, NY jobs
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
10 years of experience in a business role in enterprise software, cloud space, or Artificial Intelligence (AI) space.
Experience in identifying Artificial Intelligence (AI) use cases to solve customer tests or selling Artificial Intelligence (AI) technology to clients.
Preferred qualifications:
Experience in working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build business cases for transformation with implementation plans, and close agreements.
Experience in prioritizing, planning, and organizing solution-based business activity within business cycles, including qualifying accounts and leveraging our partner ecosystem.
Experience in supporting executive relationships, and developing new territories/accounts while ensuring customer success, adoption and expansion.
Experience in carrying and exceeding business goals.
Experience in semiconductor industry.
Knowledge of market trends, products, and solutions including foundational technical understanding of Cloud and Artificial Intelligence.
About the job As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. You will work with customers to deliver true business value, demonstrate product functionality, and provide an overview of key business use cases. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying ways to multiply impact of the team as a whole to motivate overall value for Google Cloud.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $134,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Build relationships with customers as a subject matter expert and trusted advisor, manage business cycles, identify solution use cases, and collaborate long-term direction of accounts.
Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting your territory's business.
Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, motivate pipeline and business growth, close agreements, understand the customer, and provide prospect and customer experience.
Develop and execute account plans informed by our responsible Artificial Intelligence (AI) framework across an assigned territory or market.
Work with multiple customers and opportunities, understanding each customer's technology footprint and strategy, growth plans, business drivers and how they can transform their business using our technologies.
Artificial Intelligence Sales Specialist III, Google Cloud
New York, NY jobs
_corporate_fare_ Google _place_ New York, NY, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree or equivalent practical experience.
+ 10 years of experience in a business role in enterprise software, cloud space, or Artificial Intelligence (AI) space.
+ Experience in identifying Artificial Intelligence (AI) use cases to solve customer tests or selling Artificial Intelligence (AI) technology to clients.
**Preferred qualifications:**
+ Experience in working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build business cases for transformation with implementation plans, and close agreements.
+ Experience in prioritizing, planning, and organizing solution-based business activity within business cycles, including qualifying accounts and leveraging our partner ecosystem.
+ Experience in supporting executive relationships, and developing new territories/accounts while ensuring customer success, adoption and expansion.
+ Experience in carrying and exceeding business goals.
+ Experience in semiconductor industry.
+ Knowledge of market trends, products, and solutions including foundational technical understanding of Cloud and Artificial Intelligence.
**About the job**
As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. You will work with customers to deliver true business value, demonstrate product functionality, and provide an overview of key business use cases. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying ways to multiply impact of the team as a whole to motivate overall value for Google Cloud.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $134,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* .
**Responsibilities**
+ Build relationships with customers as a subject matter expert and trusted advisor, manage business cycles, identify solution use cases, and collaborate long-term direction of accounts.
+ Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting your territory's business.
+ Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, motivate pipeline and business growth, close agreements, understand the customer, and provide prospect and customer experience.
+ Develop and execute account plans informed by our responsible Artificial Intelligence (AI) framework across an assigned territory or market.
+ Work with multiple customers and opportunities, understanding each customer's technology footprint and strategy, growth plans, business drivers and how they can transform their business using our technologies.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************
Market Intelligence & Opportunity Analyst
Wilmington, MA jobs
Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at ************** and on LinkedIn and Twitter (X).
Market Intelligence & Opportunity Analyst (Emerging Markets) About the Role
We are building a venture incubation team within Analog Devices, Inc. to identify and create the next generation of high-growth businesses. As a Market Intelligence & Opportunity Analyst, you will be responsible for scanning global markets, spotting weak signals, sizing opportunities, and identifying disruptive trends before they mature. Your work will directly feed into the company's exploration pipeline and guide customer discovery and venture building efforts.
You will thrive in this role if you are analytically rigorous, commercially curious, and excited about technology frontiers-from AI to climate tech to digital health and beyond.
Key Responsibilities
Continuously monitor and analyze emerging technologies, industries, and macro trends using data, analyst reports, and primary sources.
Develop market sizing models (TAM/SAM/SOM), growth forecasts, and competitive landscapes.
Track venture capital deal flow, startup ecosystems, regulatory changes, and research lab breakthroughs.
Distill complex information into concise opportunity briefs for internal stakeholders.
Maintain a systematic opportunity funnel: scanning → prioritization → hand-off to customer discovery team.
Partner with entrepreneurs-in-residence and customer researchers to validate the most promising opportunities.
Present insights to senior leadership with clear strategic recommendations.
Required Skills & Experience
3-6 years experience in market intelligence, strategy consulting, corporate development, VC/PE research, or technology research roles.
Strong quantitative skills: market modeling, data analysis, financial projections.
Proven ability to synthesize large volumes of qualitative/quantitative data into actionable insights.
Familiarity with innovation trends and emerging tech domains (AI, sustainability, mobility, healthcare, fintech, industrial automation, etc.).
Strong secondary research skills (analyst reports, academic literature, deal databases, patents, startup trackers).
Comfort with data visualization and storytelling tools (e.g., Tableau, PowerBI, Pitch, Notion).
Excellent communication-able to brief executives with clarity and conviction.
Entrepreneurial mindset: thrives in ambiguity, comfortable with “80/20” insights.
Preferred Skills
Exposure to venture capital investment processes (deal sourcing, due diligence).
Experience working in corporate innovation, venture studios, or think tanks.
Basic understanding of technology development cycles (from R&D to commercialization).
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: ExperiencedRequired Travel: Yes, 10% of the time Shift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $106,500 to $159,750.
Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.
Auto-ApplyPostdoctoral Appointee - Artificial Intelligence Applied to Battery Diagnosis and Prognosis
Lemont, IL jobs
This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH) of electrochemical energy storage devices (diagnosis) and predict the SOH into the future (prognosis).
The primary projects this postdoc will contribute to relate to lithium-ion batteries, advanced lead-acid batteries, and flow cells with applications including long duration energy storage and electrified aviation. Each project will involve close collaboration with domain experts to leverage emerging computing techniques to solve pressing challenges in energy storage.
The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be to design and implement new techniques for the diagnosis and prognosis of electrochemical energy storage systems. While experience in electrochemical modeling is a benefit, ideal candidates will be expected to work together with domain experts rather than possess all required expertise themselves. Beyond the listed projects, the candidate will be able to contribute to other large-team scientific projects in materials engineering, chemistry, and beyond at Argonne National Laboratory.
**Position Requirements**
Required skills:
+ Recently completed PhD (within the last 3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines
+ Knowledge of deep learning techniques for time-series and image data
+ Experience with applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems
+ Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
+ Good scientific productivity, as demonstrated by publications and conference presentations
+ Effective oral and written communication skills
+ Ability to collaborate with domain subject matter experts professionally and productively
+ Ability to model Argonne's core values of impact, respect, safety, integrity, and teamwork.
Desirable skills:
+ Expertise in physics-based modeling, ideally electrochemical modeling
+ Effective oral and written communication skills
+ Experience with analyzing large and/or complex data sets
**Job Family**
Postdoctoral
**Job Profile**
Postdoctoral Appointee
**Worker Type**
Long-Term (Fixed Term)
**Time Type**
Full time
The expected hiring range for this position is $70,758.00-$117,925.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here (******************************************** to view Argonne employee benefits!
_As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._
_Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._
_All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._
Postdoctoral Appointee - Artificial Intelligence Applied to Battery Diagnosis and Prognosis
Lemont, IL jobs
This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH) of electrochemical energy storage devices (diagnosis) and predict the SOH into the future (prognosis).
The primary projects this postdoc will contribute to relate to lithium-ion batteries, advanced lead-acid batteries, and flow cells with applications including long duration energy storage and electrified aviation. Each project will involve close collaboration with domain experts to leverage emerging computing techniques to solve pressing challenges in energy storage.
The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be to design and implement new techniques for the diagnosis and prognosis of electrochemical energy storage systems. While experience in electrochemical modeling is a benefit, ideal candidates will be expected to work together with domain experts rather than possess all required expertise themselves. Beyond the listed projects, the candidate will be able to contribute to other large-team scientific projects in materials engineering, chemistry, and beyond at Argonne National Laboratory.
Position Requirements
Required skills:
Recently completed PhD (within the last 3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines
Knowledge of deep learning techniques for time-series and image data
Experience with applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems
Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
Good scientific productivity, as demonstrated by publications and conference presentations
Effective oral and written communication skills
Ability to collaborate with domain subject matter experts professionally and productively
Ability to model Argonne's core values of impact, respect, safety, integrity, and teamwork.
Desirable skills:
Expertise in physics-based modeling, ideally electrochemical modeling
Effective oral and written communication skills
Experience with analyzing large and/or complex data sets
Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time The expected hiring range for this position is $70,758.00-$117,925.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
Auto-ApplyTechnical Intelligence Operations Analyst
Reston, VA jobs
* This position is eligible for a $500 ZelTech Non-Employee Referral fee. Contact ZelTech Recruiters for questions concerning this matter. *
Join Our Talent Community to Stay Connected!
Job Summary: The member would be part of a government and contractor team that is charged with assessing the effectiveness of a suite of technical intelligence collections and analysis programs to satisfy some of the nation's most threatening and intelligent priorities. They will assist with writing final deliverable products for submissions to groups like Office of the Director of National Intelligence (ODNI), as well as assistance with organization of multiple working groups, data calls and intelligence.
Responsibilities:
Provide assistance with organizational logistics and drafting of an Intelligence Community Analysis of Alternatives.
Present relevant factors (both verbal and written) so that technical information is understood by non-technical end users.
Respond to inquiries from customers, leadership, regulatory agencies, or members of the IC community.
Work with senior management staff to determine and implement specific technical needs and priorities of the organization.
Participate in technical solutions reviews and analysis of alternatives.
Prepare reports and presentations for both senior and technical staff.
Performs other duties as assigned to accomplish mission goals.
Requirements:
Must be a US citizen.
BS in engineering, science or technical degree and 10 or more years of relevant experience.
Active TS/SCI with Poly clearance.
Knowledge and experience in the application and adaptation of Commercial-Off- the-Shelf (COTS) products to meet government system and CONOP requirements.
Experience drafting technical documents.
Exceptional multitasking and communication skills.
Ability to define problems, collect data, establish facts, and draw valid conclusions.
Ability to manage time and resources.
Successful background and drug screening check.
Preferred Requirements:
MS in engineering or science or technical degree and 8 or more years of relevant experience.
Experience with the IC capability requirements process.
Previous experience working with the DIA.
Previous military intelligence experience.
Physical Demands or Work Environment:
The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The majority of the time is spent in an office setting.
Occasionally lift and/or move up to 25 pounds.
Specific vision abilities required include close vision, distance, vision, color vision and ability to adjust focus.
About ZelTech:
Founded in 1988 by Ret. Col. Jack L. Ezzell Jr., Zel Technologies is a trusted leader in national security, providing comprehensive research, development, engineering, and operational support to the Department of Defense, the Intelligence Community, and federal agencies. Originally focused on leveraging operational and software expertise to improve time-critical targeting capabilities for the military, the company advanced its capabilities to provide scientific and HUMINT expertise for CBRNE collection and analysis. In the wake of 9/11, Zel Technologies rapidly expanded its capabilities to provide turnkey ISR support services to US Special Operations Forces (SOF), as well as advanced technical & operational intelligence, physical & data science, and engineering support services to the greater Intelligence and SOF Communities supporting global counterterrorism and CWMD operations.
Today, Zel Technologies remains at the forefront of intelligence missions, advancing CWMD and global counterterrorism efforts, while also addressing emerging threats posed by near-peer adversaries. Our team remains committed to delivering adaptive, innovative, and cost-effective solutions across multiple domains, in alignment with the mission priorities of the U.S. Government and its partner nations.
Our Mission:
Through our commitment to innovation and quality, our skilled teams deliver robust, technology driven solutions and insights that empower our customers to overcome complex challenges and achieve their mission objectives.
Our Workforce:
ZelTech team members represent a wide range of backgrounds, skills, experience, and personalities bound together by common objectives and mutual respect. You will join a caring community of professional, including many military veterans who challenge and support each other in seeking the right solutions to important matters.
Benefits:
Medical, Dental and Vision Insurance
401k immediate vesting with company match
Flexible Spending Accounts
Health Savings Account with company contributions
Employee Assistance Program (EAP)
Bonuses for performance
Voluntary life/accidental death & dismemberment
Educational assistance and special training programs
Voluntary benefits (accidental, critical illness, whole life)
Group life insurance (Company paid)
Short-term and Long-term Disability Insurance (Company paid)
Paid Time Off (PTO), Holiday Leave, Jury Duty, and Military Leave
Health and fitness reimbursement
Referral bonuses
Employee discounts on various services and products
Equal Opportunities:
ZelTech is an equal opportunity employer and does not discriminate based on race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.
Auto-ApplyTechnical Intelligence Operations Analyst
Reston, VA jobs
* This position is eligible for a $500 ZelTech Non-Employee Referral fee. Contact ZelTech Recruiters for questions concerning this matter. *
Join Our Talent Community to Stay Connected!
The member would be part of a government and contractor team that is charged with assessing the effectiveness of a suite of technical intelligence collections and analysis programs to satisfy some of the nation's most threatening and intelligent priorities. They will assist with writing final deliverable products for submissions to groups like Office of the Director of National Intelligence (ODNI), as well as assistance with organization of multiple working groups, data calls and intelligence.
Responsibilities:
Provide assistance with organizational logistics and drafting of an Intelligence Community Analysis of Alternatives.
Present relevant factors (both verbal and written) so that technical information is understood by non-technical end users.
Respond to inquiries from customers, leadership, regulatory agencies, or members of the IC community.
Work with senior management staff to determine and implement specific technical needs and priorities of the organization.
Participate in technical solutions reviews and analysis of alternatives.
Prepare reports and presentations for both senior and technical staff.
Performs other duties as assigned to accomplish mission goals.
Requirements:
Must be a US citizen.
BS in engineering, science or technical degree and 10 or more years of relevant experience.
Active TS/SCI with Poly clearance.
Knowledge and experience in the application and adaptation of Commercial-Off- the-Shelf (COTS) products to meet government system and CONOP requirements.
Experience drafting technical documents.
Exceptional multitasking and communication skills.
Ability to define problems, collect data, establish facts, and draw valid conclusions.
Ability to manage time and resources.
Successful background and drug screening check.
Preferred Requirements:
MS in engineering or science or technical degree and 8 or more years of relevant experience.
Experience with the IC capability requirements process.
Previous experience working with the DIA.
Previous military intelligence experience.
Physical Demands or Work Environment:
The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The majority of the time is spent in an office setting.
Occasionally lift and/or move up to 25 pounds.
Specific vision abilities required include close vision, distance, vision, color vision and ability to adjust focus.
About ZelTech:
Founded in 1988 by Ret. Col. Jack L. Ezzell Jr., Zel Technologies is a trusted leader in national security, providing comprehensive research, development, engineering, and operational support to the Department of Defense, the Intelligence Community, and federal agencies. Originally focused on leveraging operational and software expertise to improve time-critical targeting capabilities for the military, the company advanced its capabilities to provide scientific and HUMINT expertise for CBRNE collection and analysis. In the wake of 9/11, Zel Technologies rapidly expanded its capabilities to provide turnkey ISR support services to US Special Operations Forces (SOF), as well as advanced technical & operational intelligence, physical & data science, and engineering support services to the greater Intelligence and SOF Communities supporting global counterterrorism and CWMD operations.
Today, Zel Technologies remains at the forefront of intelligence missions, advancing CWMD and global counterterrorism efforts, while also addressing emerging threats posed by near-peer adversaries. Our team remains committed to delivering adaptive, innovative, and cost-effective solutions across multiple domains, in alignment with the mission priorities of the U.S. Government and its partner nations.
Our Mission:
Through our commitment to innovation and quality, our skilled teams deliver robust, technology driven solutions and insights that empower our customers to overcome complex challenges and achieve their mission objectives.
Our Workforce:
ZelTech team members represent a wide range of backgrounds, skills, experience, and personalities bound together by common objectives and mutual respect. You will join a caring community of professional, including many military veterans who challenge and support each other in seeking the right solutions to important matters.
Benefits:
Medical, Dental and Vision Insurance
401k immediate vesting with company match
Flexible Spending Accounts
Health Savings Account with company contributions
Employee Assistance Program (EAP)
Bonuses for performance
Voluntary life/accidental death & dismemberment
Educational assistance and special training programs
Voluntary benefits (accidental, critical illness, whole life)
Group life insurance (Company paid)
Short-term and Long-term Disability Insurance (Company paid)
Paid Time Off (PTO), Holiday Leave, Jury Duty, and Military Leave
Health and fitness reimbursement
Referral bonuses
Employee discounts on various services and products
Equal Opportunities:
ZelTech is an equal opportunity employer and does not discriminate based on race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.
Auto-Apply1110- Artificial Intelligence Researcher
San Francisco, CA jobs
About the Role We are looking for an innovative Artificial Intelligence Researcher to join our growing AI/ML team. In this role, you will design, experiment, and implement advanced AI models that solve complex business and technical challenges. You will work closely with engineering, product, and data science teams to bring cutting-edge research into real-world applications.
This position is ideal for someone passionate about pushing the boundaries of machine intelligence and contributing to impactful research.
A Day in the Life
* Conduct research in advanced AI/ML areas such as NLP, computer vision, deep learning, reinforcement learning, and generative AI.
* Develop new algorithms and improve existing model architectures to enhance performance and accuracy.
* Build prototypes and POCs (proof-of-concept) to demonstrate the feasibility of innovative AI solutions.
* Analyze large datasets to train, fine-tune, and evaluate models using state-of-the-art frameworks.
* Work with cross-functional teams to transition research outputs into production systems.
* Stay updated on emerging AI trends, technologies, and research publications.
* Document findings and contribute to whitepapers, patents, or conference publications.
* Participate in model validation and evaluations, responsible AI practices, and performance optimization.
What You Need
* Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field.
* 2-5 years of experience in AI/ML research or applied machine learning roles.
* Strong knowledge of deep learning architectures (Transformers, CNNs, RNNs, etc.).
* Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
* Solid understanding of statistics, probability, algorithms, and optimization techniques.
* Experience working with large datasets and training models on cloud environments (AWS, GCP, Azure).
* Strong problem-solving skills and the ability to work independently on research tasks.
Preferred Qualifications
* Experience with large language models, generative AI, or foundation model fine-tuning.
* Publication record in AI/ML conferences (ICML, NeurIPS, ICLR, CVPR, ACL, etc.).
* Familiarity with MLOps tools and scalable model deployment workflows.
* Contributions to open-source machine learning libraries.
* Experience collaborating in multi-disciplinary teams.
We offer competitive benefits to set you up for success in and outside of work.
Here's What We Offer
* Generous PTO Benefits: Enjoy PTO benefit accrual of 22 days per year.
* Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
* Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance. Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance.
* Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate.
Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at *****************. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.
About Innovaccer
Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure- extending the human touch in healthcare. For more information, visit *******************
Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web.
Easy ApplyINTELLIGENCE ANALYST
Dayton, OH jobs
Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do.
Ignite is currently seeking driven, detail-oriented Intelligence Analysts to join our team supporting NOVASTAR, in Dayton, OH. These positions are expected to be onsite.
Job Requirements
Responsibilities include, but are not limited to:
* Perform All- Source, Geospatial, and/or Signals Intelligence analysis and integration.
* Assess dynamic characteristics of space and/or air systems.
* Conduct analysis of tasked foreign satellites, missiles, and/or other threat systems from all-source intelligence and open-source intelligence to provide engineering judgements of system design.
* Job Requirements and Qualifications:
* Bachelor's Degree in STEM, Intelligence Studies, or Related Discipline
Preferred Qualifications:
* Experience supporting intelligence analysis or integration in one or more of the following areas:
o All Source Intelligence
o SIGINT
o MASINT
o GEOINT
* Experience in assessing adversarial threat systems in air or space systems.
* Experience preparing briefs and briefing leadership.
* Prior Military Experience a plus.
Security Clearance Requirements:
Must have an active TS/SCI Security Clearance or the ability to obtain one.
Education Requirements:
* Bachelor's degree in relevant discipline.
Other Requirements:
Must be a US citizen and be able to obtain and hold an active Security Clearance
We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.
Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************
Cyber Intelligence Researcher
Seattle, WA jobs
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Attacker Engineering team validates Stripe's defenses and measures security controls by providing actionable attacker-derived products, datasets, and insights into real attacks. The team is distributed, working primarily across US time zones but will regularly coordinate with stakeholders in Europe and Asia.
What you'll do
We are seeking a skilled and motivated cyber intelligence professional who will conduct comprehensive research and analysis of cyber threat intelligence data from diverse sources. As part of our team, you will provide valuable insights and recommendations to support informed decision-making and effective risk mitigation strategies. Your ability to communicate complex cyber threat intelligence findings to non-technical stakeholders is crucial in ensuring its understanding and application. Collaborating with internal teams and external partners, you will play a vital role in enhancing security and staying ahead of emerging cyber threats. Your dedication to continuous improvement and alignment with organizational goals will contribute to the overall effectiveness of our intelligence operations. Join us in our mission to safeguard our organization and stakeholders from evolving cyber risks.
Responsibilities
* Collaborate closely with relevant stakeholders, such as product teams, engineering teams, and business units, to understand their intelligence needs and requirements.
* Proactively identify and analyze potential cyber-related threats and risks to the organization by conducting comprehensive research and analysis using various intelligence sources and methodologies.
* Provide timely and actionable intelligence reports and briefings to key stakeholders, including executives, business leaders, and operational teams, supporting informed decision-making and risk mitigation strategies.
* Monitor and analyze threat intelligence feeds, open-source intelligence, social media platforms, trust groups, and other relevant sources to identify emerging cyber threats, attack trends, and potential threat actors.
* Conduct in-depth investigations and analyses of security incidents, data breaches, and cyber attacks to determine the nature, scope, and impact of the incidents and provide recommendations for response and remediation.
* Develop and maintain threat profiles and actor attribution information to enhance the organization's understanding of threat landscapes and potential adversaries.
* Collaborate with internal teams and external partners to share and exchange threat intelligence, improving collective defenses and response capabilities.
* Stay current with the latest trends, techniques, and tools in cyber threat intelligence and contribute to continuously improving intelligence practices and methodologies within the organization.
* Develop relationships with external intelligence providers, industry peers, and trusted communities to stay informed about emerging threats and share relevant intelligence.
* Participate in incident response activities, providing intelligence support to effectively detect, investigate, and respond to cyber incidents and contribute to post-incident analysis and lessons learned exercises.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
* 5+ years of experience in cyber threat intelligence or a related area
* Bachelor's degree in a relevant field, such as Cybersecurity, Computer Science, or a related discipline
* In-depth knowledge and understanding of the cyber threat landscape, attack vectors, and emerging trends in the field of cybersecurity
* Demonstrated experience collecting, analyzing, and interpreting intelligence from various sources, including open-source intelligence, threat feeds, social media, and underground forums
* Proficiency in utilizing intelligence analysis tools and technologies to process, visualize, and present data in a meaningful and actionable manner
* Strong understanding of intelligence methodologies, frameworks, and best practices, with the ability to apply them effectively in a practical setting
Preferred qualifications
* Excellent written and verbal communication skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
* Proven ability to work collaboratively with cross-functional teams and stakeholders to identify intelligence requirements and provide timely and relevant intelligence support
* Familiarity with relevant industry standards and regulations about cyber threat intelligence and data privacy
* Continuous learning mindset with a desire to stay up-to-date with the latest threats, intelligence techniques, and tools in the cybersecurity field
Hybrid work at Stripe
This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
In-office expectations
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
Auto-ApplyIntelligence Support to Information Operations (ISIO) Analyst/SME - DOD TS/SCI - w/POLY
Fort Meade, MD jobs
Responsibilities
Peraton and its Operational Planning, Implementation and Assessment Services Team is seeking an experienced Intelligence Support to Information Operations (ISIO) Analyst/Subject Matter Expert (SME) to provide Intelligence Support to Information Operations (ISIO).
This position is on-site at USCYBERCOM in Fort Meade, MD.
SMEs with situational awareness that enable rapid decision-making, improves current and long-term IO & IW planning and facilitates the synchronization of IO with CCMDs mission partners. The SME will provide operational intelligence services that include the full range of intelligence functions to address Information Related Capabilities (IRC) requirements. The ideal candidate should demonstrate the ability to deliver various intelligence reports and products enabling the Government in collecting, analyzing, disseminating, de-conflicting, and cataloguing actionable information on intelligence and non-kinetic targeting activities.
What You'll Do:
Participate in the development of intelligence and non-kinetic targeting activities to align collections and provide feedback to influence activities.
Facilitate the de-confliction that underpins intelligence gain/loss and political and military assessments.
Participate in the development of intelligence for inclusion in command collection plans facilitating planning, execution, and feedback for measures of performance and measures of effectiveness.
Incorporate information-related capabilities and sensitive activities into operations orders, annexes, and evaluation/assessment plans.
Coordinate, consolidate, submit, and track intelligence requirements across IRCs.
Supports planning, coordination, integration and synchronization of non-lethal effects and offensive cyberspace operations (OCO) in support of CCMD operations. Assists in synchronizing OCO and defensive cyberspace operations (DCO) support into the COCOM Joint Fires / Targeting process
Conducts fires planning for the Integration and cyber delivered Special Technical Operations and Information Operations capabilities into OCO/DCO activities and integrates emerging cyberspace operational efforts into OPLAN development
Utilize knowledge of joint doctrine and joint planning concepts, to include the JOPP/MDMP and IPB/JIPOE. Apply operational art and operational design in the application of JOPP/MDMP
Assess lethal and non-lethal effects from IRC (i.e. Information Operations, MISO, MILDEC, EW) and provided recommendation into the targeting process for refinement of targeting guidance and objectives
Utilizes knowledge of joint doctrine and joint planning concepts, to include the Joint Operations Planning Process (JOPP). Applying operational art and operational design in the application of JOPP
Use your In-depth Intelligence analytic skills to identify, assess, design, and report on highly complex adversary strengths, weaknesses, order of battle, force structure, military capabilities, key military leadership, military policies, plans, strategies, intentions, and their impact on force developments in support of IO Division planning efforts and operational execution
Join Our Mission:
At Peraton, you'll be part of a team that's making a real difference. We are committed to creating solutions that empower the U.S. Intelligence Community and our national defense partners to succeed in their mission to protect America. We offer a culture that fosters innovation, collaboration, and continuous learning, with opportunities for career growth in one of the most dynamic fields in the industry.
If you're ready to be challenged, make an impact, and grow your career while supporting the nation's defense, apply today!
Qualifications
Required:
Bachelor's Degree with minimum 8 years (or 6 years with Master's degree or 3 years with PhD) of experience in operational environment directly involved in HUMINT/OSINT/SIGINT.
Four years of relevant experience will be considered in lieu of a Bachelor's degree.
Staff level planning and CONOP development experience at the Combatant Command, TSOC and/or Sub Unified Command level - Information Operations experience
Demonstrated Knowledge and Experience: in the following areas:
Understanding of research and analysis methodologies and theories supporting the entirety of the intelligence lifecycle.
Extensive use of tools specific to the end customer.
Experience conducting analysis of all and Open-source intelligence support to irregular warfare problem sets to highlight insurgent or threat network organization, key nodes, and vulnerabilities in support of Information Operations
Experience conducting all source intelligence gathering and reporting network analysis in support of network operations.
Documented experience as an All and Open-Source Intelligence professional
Documented experience as a SIGINT Collector with a minimum of 5 years' experience directly involved in SIGINT, Overt/Clandestine, Intelligence Operations for SOF Support of Sensitive Activities
Current U.S. Passport or ability to obtain prior to start date
Current DoD Top Secret with SCI eligibility and ability to obtain the customer's required Poly
Preferred:
Current DoD Top Secret /SCI clearance with Poly
Certified SIGINT professional with 10 or more years of experience in operational environment directly involved in Intelligence Overt/Clandestine, Intelligence Operation Support or SOF Sensitive Activities
Recent Joint or Service Level All and Open-Source Intelligence experience working in an austere and hazardous location such as Afghanistan.
Formal training of more than three years of practical experience utilizing the F3EAD, CALEB/IWA, Social Network Analysis and CARVER methodologies.
Expert understanding of network analysis tools such as Analyst Notebook and Palantir.
Expert understanding of Intel-related databases such as M3, TAC, NCTC Online, TIDE, ICReach SIGINT database, Cultweave SIGINT database, PROTON SIGINT Database.
Expert understanding of Intel targeting tools such as the Skope toolset or the Voltron toolset.
Practical understanding of geospatial Intel tools such as ArcGIS and Google Earth.
Experience with incorporating SAP and STO capabilities in plans and operations; graduate of the STO Planner Course and PDAS User Course
Graduate of a recognized Intelligence Collections Support Course at the Joint or Service Level and Information Operation planning experience
Able to physically participate in training and operational support, as needed
Experience working with distributed teams.
Experience in the Joint and Army deliberate and dynamic targeting process in combat and training and with the military decision-making processes (i.e., JOPP, MDMP, JTC, D3A,etc.)
Experience in Integration of Special Technical Operations capabilities enabling lethal effects Synchronizing all IRCs into the scheme of fires to include, Information Operations, Cyberspace capabilities and Electronic warfare enablers.
Experience conducting intelligence nodal analysis and critical vulnerability assessments of enemy networks to identify and nominate key nodes for kinetic and non-kinetic options, thereby disrupting or eliminating enemy centers of gravity....
Expert knowledge regarding counterintelligence and human intelligence activities; coordinate and collaborate with DoD and Service counterintelligence organizations, the Joint Staff, and other federal law enforcement and intelligence agencies on a daily basis regarding matters of mutual interest; review and contribute to military deception planning processes.
Specialized Software Training: Digital Precision Strike Suite (DPSS), Digital Image Exploitation Engine (DIEE), Precision Strike Suite-Special Operations Force (PSS-SOF), Joint Targeting Toolbox (JTT), Joint Advance Operation Coordination System (JADOCS), Advanced Field Artillery Tactical Data System (AFATDS), Joint Weaponeering System (JWS), Joint Munitions Effectiveness Manual (JMEM), National Production Workshop/Modernized Integrated Database (NPW/MIDB), Analysts Notebook (ANB), Palantir, Terrorist Identity Datamart Environment (TIDE), ARCGIS
#OPIAS
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Auto-Apply