Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
Department Summary:
The CI Assessments, Analytics, and Resiliency department (L541) is focused on defending and strengthening our nation's critical infrastructure. L541 supports a full range of defensive operations and activities including threat-informed risk assessment and mitigation, adversary hunting, adversary emulation, and detection engineering with a special focus on operational technology (OT). It is the expertise in OT and knowledge of threats and security controls and techniques that differentiates the department's work from traditional information technology cybersecurity.
L541 also brings this specialized knowledge to other domains of security and safety engineering including resilience engineering and infrastructure susceptibility assessments. The department is continuously developing, refining, and tailoring capabilities to meet the needs and special requirements and constraints when working with operational technologies in critical infrastructure. The department moves the state of the art in securing CI by sharing our thought leadership both within and outside of MITRE via TEMs, conferences, presentations, and publications. This is how the CI Assessments, Analytics, and Resiliency department helps create a world with safe and resilient cyber infrastructure.
Job Description:
Do you have a Cyber background and an interest in Operational Technology (OT) or Control Systems? Do you enjoy studying adversary behavior and developing software to emulate it? Do you have an interest in researching, developing, and deploying capabilities within labs and sponsor spaces? MITRE's Cyber Infrastructure Protection Innovation Center is seeking a cyber security engineer to develop and support its adversary emulation capabilities and efforts. The candidate must have a desire to grow their expertise and explore innovative ideas in the domain of cyber physical security, to include OT / Control Systems / IOT with an interest in adversary emulation, protocol analysis, software development, threat-informed defense, and security operations. Working within MITRE's labs, you'll be empowered to keep pace with current and emerging technologies and practices, all while working on cutting edge, impactful solutions to solve some of cybersecurity's toughest challenges through a variety of government projects and applied research. Our projects support the whole of the US government, and our private sector partners, to improve the state of Cyber Physical / OT cybersecurity globally.
Roles & Responsibilities:
* Applying adversary emulation and protocol analysis expertise in support of sponsors.
* Leading and developing adversary emulation capabilities like Caldera for OT.
* Managing small tasks and projects.
* Work shaping and developing strong sponsor relationships.
* Providing mentorship to junior staff.
* Generating ideas for research to improve cybersecurity for critical infrastructure.
Basic Qualifications:
* Bachelor's Degree or higher in Electrical Engineering, Computer Science, Software Engineering, or related field and:
* At least 8 years with Bachelor's; At least 6 years with Master's; or At least 3 years with PhD of successful experience in OT cybersecurity or related field.
* Experience in OT cybersecurity, adversary emulation, protocol analysis, software development, and/or process control.
* Ability to work with others to solve challenging technical problems.
* Experience managing projects.
* Ability to think critically, work in group settings, and be proactive in pursuing research and problem solving.
* Experience with programming in Python.
* Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information or applicants who are eligible for security clearances.
* Must be U.S. citizen in order to obtain a Top Secret clearance within one year of hire.
* This position requires a minimum of 50% hybrid on-site.
Preferred Qualifications:
* Experience working with federal departments and agencies or their stakeholders, e.g., state/local/tribal/territorial governments and critical infrastructure organizations.
* Experience with red, blue, and purple teaming using breach and attack simulation tools, especially experience with Caldera.
* Experience working with control systems in a critical infrastructure environment (manufacturing, power plant, water/wastewater, or equivalent) with working knowledge of OT, ICS, SCADA, PLCs, DCS, IEDs, Industrial Firewalls, or DCS and related hardware and software.
* Experience with OT protocols such as Siemens S7, CAN, HART, OPC UA, DLSM/COSEM, MQTT, LonWorks, ICCP, IEC 61850, IEC 60870-5-101/104, DNP3, Profinet, ENIP/CIP, Modbus, and/or BACnet.
* Experience in software engineering and development in Python and other languages. Knowledge of non-SQL databases.
* Experience writing research, work, or funding proposals/statements of work.
* Active Top Secret Clearance.
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret
Salary compensation range and midpoint:
$158,800 - $198,500 - $238,200 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email ************************ for general support and *************************** for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here.
Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
$64k-82k yearly est. Auto-Apply 7d ago
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Plumbing Engineer, EIT or PE
Prudent Technologies and Consulting, Inc. 4.3
Houston, TX jobs
Plumbing Engineer (EIT or PE)
Onsite in Memorial City
Direct Hire with Benefits, PTO
We're seeking a motivated Plumbing Engineer (EIT or PE) to join a collaborative MEP (Mechanical, Electrical, and Plumbing) engineering team.
Revit and MEP experience are both required. Resumes without Revit and MEP will not be considered.
***If you're interested in this opportunity, please apply here or send your resume directly to ***************************
--No Corp to Corp at this time, please.
--All candidates must be able to work for any employer in the United States without current or future sponsorships needs.
In this role, you'll contribute to designing innovative and sustainable plumbing systems for educational, commercial, and institutional projects. You'll gain hands-on experience working with senior engineers, learning the full design process-from concept to construction-while building a strong foundation for your professional growth.
Key Responsibilities
Assist in the design and documentation of plumbing systems, including domestic water, sanitary waste, storm drainage, and fire protection.
Perform engineering calculations and support the production of AutoCAD and Revit drawings.
Review shop drawings, RFIs, and submittals related to plumbing system design.
Conduct field observations to verify installations and ensure alignment with design intent.
Collaborate with cross-discipline teams to deliver high-quality, coordinated construction documents.
Requirements
Bachelor's degree in Mechanical Engineering or a related field.
Successful completion of the Fundamentals of Engineering (F.E.) exam.
Certified or eligible for certification as an Engineer-in-Training (EIT) or PE (Professional Engineer).
Experience with Revit.
Excellent attention to detail, organization, and problem-solving skills.
Ability to manage multiple projects while collaborating effectively in a team environment.
Familiarity with AutoCAD, Bluebeam, and Microsoft Office Suite.
Working knowledge of plumbing and mechanical codes (Uniform Plumbing Code, NFPA standards).
Prior internship or experience in an MEP consulting environment.
Understanding of water distribution, drainage, gas, and fire protection systems.
What We Offer:
Competitive salary commensurate with experience.
Comprehensive health insurance, 401(k), and paid holidays/PTO.
Mentorship and professional development opportunities.
Exposure to diverse and meaningful building projects.
A collaborative, supportive team environment that values innovation and growth.
$77k-104k yearly est. 1d ago
Thermal Engineer
Apple Inc. 4.8
San Francisco, CA jobs
San Francisco Bay Area, California, United States Hardware
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than something - you'll add something.Do you love taking on big challenges that require exceptionally creative solutions? The Thermal team is responsible for all thermal aspects of highly collaborative, cross-functional design efforts. We are searching for an extraordinary engineer to help lead the definition and design of Apple products. You'll ensure all thermal objectives are met or surpassed from initial concept to design fruition and the user experience is optimized to surprise and delight our customers.
Description
You will be tasked with impacting product design decisions by providing reliable analysis and thermal insight. You'll define, guide thermal flow experiments to characterize materials, components, and systems. You'll drive architecture of next-generation cooling strategies for high-powered devices using analytical tools, CFD, and prototype testing. A strong sense of design ownership along with the ability to build consensus will help you drive technical challenges to conclusion. Additionally, you will lead technology investigations, design, implementation of thermal solutions and communicate status results to leadership.
Minimum Qualifications
5+ years thermal design experience.
M.S. in Mechanical Engineering or equivalent.
Strong understanding of heat and fluid flow with the ability to apply this understanding to multi-disciplinary design problems.
Excellent verbal and written communications skills.
Deep technical and functional expertise in conduction, convection (natural and forced) and radiation, as well as numeric modeling techniques and concepts.
Experience with both CFD and experimental techniques for design validation.
Ability to clearly communicate complex technical material.
Occasional domestic and international travel required.
Preferred Qualifications
Ph.D. in Mechanical Engineering with emphasis on Heat Transfer or Fluid Dynamics.
7+ years of thermal design experience.
Deep knowledge of TIMs, heat sinks, heat pipes, vapor chambers, cold plates, pumps, and air movers for thermal mitigation, especially within a datacenter environment.
Proven ability to lead high visibility programs.
Ability to thrive in a fast-paced work environment.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Apple accepts applications to this posting on an ongoing basis.
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$181.1k-318.4k yearly 1d ago
RFIC Layout Engineer
Apple Inc. 4.8
San Francisco, CA jobs
San Francisco Bay Area, California, United States Hardware
The Wireless SoC Radio Team designs state‑of‑art highly energy efficient CMOS radios, from RF to bits. To deliver these radios, our team is responsible for the design of a wide range of RF, analog, and mixed‑signal blocks from RF front‑end amplifiers to data converters, including baseband filters, baseband and RF phase‑locked loops, crystal oscillators, and bandgap references.
Description
As an RFIC Layout Engineer, you will be a key member of a RFIC team, researching, designing and bringing the next‑generation of wireless technologies into high‑volume production in advanced CMOS technology nodes.
Responsibilities
Detailed transistor‑level layout of RF and analog circuit blocks including LNA, mixers, PLL, LO generation, modulators, power amplifiers, ADC/DAC, baseband filters, and bandgap/bias/LDO.
Block level layout through full verification flow including extraction, DRC, LVS, and DFM checking.
Co‑work with designers on block level floorplanning.
Layout review for power/gnd routing, electromigration, signal path check, differential and IQ matching, and signal coupling.
Minimum Qualifications
BS and 3+ years of relevant industry experience.
Preferred Qualifications
Experience in custom RF/analog layout for radio transceivers with extensive knowledge of deep sub‑micron CMOS.
Knowledgeable in layout techniques for device matching, minimizing parasitics, RF shielding, and high frequency routing.
Solid understanding of RC delay, electromigration, and coupling.
Understanding of guard rings, DNW, PN junctions, and advanced process effects such as LOD and WPE.
High level proficiency in interpretation of CALIBRE DRC, ERC, LVS in FinFet Technology.
Knowledge of CADENCE layout tools.
Scripting skills in PERL or SKILL.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.
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$141.8k-258.6k yearly 4d ago
GenAI Engineer - Applied AI Platforms
Databricks Inc. 3.8
San Francisco, CA jobs
A leading AI technology firm based in San Francisco is seeking GenAI Engineers at various levels to drive the development of innovative GenAI-powered products. This role involves shaping AI features, developing LLM technologies, and collaborating with cross-functional teams. Ideal candidates should have 2-8 years of ML engineering experience and proficiency in Python and TensorFlow/PyTorch. A competitive pay range of $166,000 to $210,250 USD is offered, along with comprehensive benefits.
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$166k-210.3k yearly 2d ago
Gen AI Trust & Privacy Engineer for Platforms
Amazon 4.7
San Francisco, CA jobs
A leading tech company in San Francisco seeks a Trust and Privacy Engineer to enhance customer trust across diverse devices. The role involves architecting AI-powered platforms and integrating trust principles. Candidates should have 2+ years of experience, proficiency in web protocols, and programming skills. A strong understanding of security and privacy is crucial. This is a full-time role with a collaborative team focusing on innovative trust solutions.
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$134k-185k yearly est. 20h ago
Satellite GNC Engineer, Amazon Leo
Amazon 4.7
San Francisco, CA jobs
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
Export Control Requirement
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Role Overview
This position is part of the Satellite Attitude Determination and Control team. You will design and analyze the control system and algorithms, support development of flight hardware and software, help integrate the satellite in labs, participate in flight operations, and observe a constellation of satellites flow through the production line in the building next door.
Key Responsibilities
Design and analyze algorithms for estimation, flight control, and precise pointing using linear methods and simulation.
Develop and apply models and simulations of the satellite and our constellation with various levels of fidelity.
Perform component level environmental testing, functional and performance checkout, subsystem integration, satellite integration, and in‑space operations.
Manage the spacecraft constellation as it grows and evolves.
Continuously improve our ability to serve customers by maximizing payload operations time.
Develop autonomy for Fault Detection and Isolation on board the spacecraft.
A Day in the Life
This is an opportunity to play a significant role in the design of an entirely new satellite system with challenging performance requirements. The large, integrated constellation brings opportunities for advanced capabilities that need investigation and development. The constellation size also puts emphasis on engineering excellence so our tools and methods, from conceptualization through manufacturing and all phases of test, will be state of the art as will the satellite and supporting infrastructure on the ground. You will find that Amazon Leo's mission is compelling, so our program is staffed with some of the top engineers in the industry. Our daily collaboration with other teams on the program brings constant opportunity for discovery, learning, and growth.
About the Team
Our team has lots of experience with various satellite systems and many other flight vehicles. We have bench strength in both our mission and core GNC disciplines. We design, prototype, test, iterate and learn together. Because GNC is central to safe flight, we tend to drive Concepts of Operation and many system level analyses.
Basic Qualifications
PhD, or Master's degree and 4+ years of quantitative field research experience.
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products.
Experience analyzing both experimental and observational data sets.
Preferred Qualifications
Knowledge of R, MATLAB, Python or similar scripting language.
Experience with agile development.
Experience building web‑based dashboards using common frameworks.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ********************************
USA, WA, Redmond - 136,000. - 184,000.00 USD annually.
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$134k-185k yearly est. 3d ago
BI Engineer III: Forecasting & Analytics
Amazon 4.7
San Francisco, CA jobs
A leading tech company is seeking a Business Intel Engineer III located in San Francisco, CA. The role involves managing metrics reporting, performing statistical modeling, and developing forecasting technologies. Candidates must have a Master's degree in a related field or equivalent experience, along with skills in SQL, ETL, and statistical analysis. This position offers a salary range of $159,099 to $176,300 annually, along with a comprehensive compensation package including benefits and equity incentives.
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$159.1k-176.3k yearly 1d ago
Azure Cloud Engineer
Triune Infomatics Inc. 3.8
Santa Clara, CA jobs
Role: Senior Azure DevSecOps Engineer
Duration: 6+ months
In-person interview is Mandatory at Santa Clara, CA
Overview: We are seeking a Senior Azure DevSecOps Engineer to build, maintain, and operate our Azure cloud platform from the ground up. This role follows approved architecture designs and is responsible for turning them into a secure, scalable, and production-ready platform. This individual must be exceptionally strong in Terraform and Infrastructure as Code, have deep hands-on Azure experience, and bring a security-first mindset to everything they build.
Manager's Note:
Experience in working with ArgoCD and GitOps Model
Kustomize and Defender for DevOps
Knowledge of Terraform
Handling of Azure managed Kubernetes clusters
IaaC (experience in writing Yaml files, configuring pipelines in Azure)
Troubleshoot production issues by monitoring service Error logs from platform/infra side
They should understand Azure thoroughly- how to scale up/down services, Applying IAM policies, Setting up Managed API Gateway, Managed Database services in Azure etc. These are very important
Grafana and Prometheus (
Nice to have
)
Finally having "
security first
" mindset.
Key Responsibilities:
Build, deploy, and maintain Azure cloud infrastructure in alignment with defined architecture
Design and manage Infrastructure as Code (IaC) using Terraform
Use Terraform Cloud for remote state management, workspaces, and deployment workflows
Own and operate CI/CD pipelines for infrastructure and application deployments
Deploy and manage observability solutions, including Grafana, metrics, logging, alerting, and dashboards
Build and support microservices-based architectures
Deploy and manage containerized workloads using Kubernetes (Azure Kubernetes Service - AKS)
Monitor platform health and troubleshoot production issues using logs, metrics, and alerts
Scale Azure services up and down to meet performance and availability requirements
Implement and manage Azure IAM/RBAC policies following least-privilege principles
Configure and operate Azure managed services, including:
Managed API Gateway
Managed database services
Networking and security components
Partner closely with Software Engineering, Architecture, and Security teams
Participate in incident response and root cause analysis from a platform perspective
Ensure platforms are secure by design, not secured after deployment
Required Skills & Experience (Must Have):
Very strong hands-on experience with Terraform
Hands-on experience with Terraform Cloud, including:
Remote state management
Workspaces
Workflow-driven deployments
Deep expertise in Infrastructure as Code (IaC) concepts and best practices
Strong experience building and operating Azure cloud platforms
Hands-on experience with Azure Kubernetes Service (AKS)
Strong understanding of microservices architecture
Experience with containers and Kubernetes
Proven experience building cloud platforms from the ground up
Strong experience designing and managing CI/CD pipelines
Experience implementing observability platforms, including Grafana
Strong troubleshooting skills using logs, metrics, dashboards, and alerts
Ability to support and stabilize production environments
Security Expectations (Critical):
Strong security-first mindset
Experience implementing least-privilege access, secure configurations, and guardrails
Understanding of cloud security fundamentals and secure architecture patterns
Comfortable working with security reviews, audits, and compliance requirements
Ability to embed security into infrastructure, pipelines, and runtime environments
Nice to Have:
DevSecOps tooling experience
Experience integrating Terraform Cloud with CI/CD systems
Knowledge of Azure Monitor, Log Analytics, Prometheus, or similar tools
Experience with incident response and on-call rotations
Experience operating in regulated or audited environments
Cloud cost optimization experience
What Success Looks Like:
A stable, scalable, and secure Azure platform
Infrastructure fully managed through Terraform and Terraform Cloud
Reliable CI/CD pipelines with strong observability
Faster, safer deployments with reduced production issues
Strong collaboration across Engineering, Architecture, and Security teams
$104k-153k yearly est. 20h ago
Staff ML Engineer - Open-Domain QA & LLMs (RL)
Apple Inc. 4.8
Santa Clara, CA jobs
A leading technology company based in Santa Clara, California, is seeking a Staff Machine Learning Engineer to enhance AI features across Apple products. The ideal candidate will have extensive experience in machine learning, particularly in reinforcement learning and large language model post-training. This role promises a competitive salary, stock options, and a comprehensive benefits package including medical, dental, and education reimbursement.
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$167k-219k yearly est. 4d ago
Privacy-Preserving ML Engineer
Openai 4.2
San Francisco, CA jobs
A leading AI research company is seeking a privacy engineer in San Francisco. You will protect user data while ensuring AI system efficiency, employing techniques like differential privacy and federated learning. Responsibilities include designing privacy-preserving algorithms, investigating privacy-performance trade-offs, and developing documentation. Ideal candidates have experience with privacy technologies and deep learning. OpenAI promotes a diverse environment and offers relocation assistance.
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$108k-156k yearly est. 2d ago
Staff ML Engineer - AI-Powered Observability Platform
Cisco Systems 4.8
San Jose, CA jobs
A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions.
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$151k-191k yearly est. 20h ago
Staff Engineer, Machine Learning
Poshmark, Inc. 4.7
Redwood City, CA jobs
About Poshmark
Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one‑of‑a‑kind items, and building a more sustainable future for fashion. For more information, please visit ***************** and for company news, visit newsroom.poshmark.com.
Big Data team is a central player in the Poshmark organization. Our mission is to build a world‑class big data platform to bring value out of data for us and for our customers. Our goal is to democratize data, support exploding business, build data and ML pipelines to fuel existing and new business critical initiatives.
We are looking for exceptional, creative and passionate Machine Learning engineers to join our ML and Big Data Team. You will be responsible for building and owning the next‑generation of algorithms and systems that would have critical business impact for Poshmark and improve the user experience for our millions of users.
Responsibilities:
Explore large datasets, research and develop algorithms/models to solve interesting business problems.
Design and code highly scalable, machine learning applications processing large volumes of data.
Collaborate with multiple teams - data science, business, engineering and help deliver Machine learning based Data products across the company.
Develop best practices and tools to enable robust delivery of features.
Design and improve architecture in order to ensure horizontal scalability at all layers.
Ideal Candidate:
Strong background in Machine Learning with deep understanding of algorithms and modeling techniques.
6+ years of overall software development experience with at least 4+ years of industry experience applying Machine Learning to concrete problems.
Great coding skills and strong software development experience with Big Data technologies & Machine Learning frameworks like SparkML, TensorFlow, PyTorch, Keras.
Understanding of distributed systems, and large scale engineering challenges is plus.
Technologies we use:
Scala, Python
MongoDB, Redshift, Druid
Airflow, Jenkins
Spark, SparkML, Kinesis
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$160k-217k yearly est. 1d ago
Fenergo Engineer
Synechron 4.4
Irving, TX jobs
We are
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
Our challenge
We are seeking a highly skilled Senior Data & Fenergo Platform Engineer / Architect to design, build, and integrate enterprise KYC, Client Lifecycle Management (CLM), and Financial Crime platforms.
The role focuses on Fenergo Core & Fen-X, real-time and batch data processing, and advanced analytics using modern data platforms. This position will work closely with compliance, financial crime, onboarding, data engineering, and architecture teams to deliver scalable, secure, and regulatory-compliant solutions.
The Role
Responsibilities:
Fenergo & CLM
Implement and customize Fenergo Core for Client Lifecycle Management (CLM), KYC, AML, and regulatory onboarding.
Develop workflows, rules, configurations, and integrations using Fen-X.
Design and implement integrations using Fenergo Connectivity & Data Integration Platform (CDIP).
Integrate Fenergo with upstream/downstream systems (CRM, Core Banking, Risk, AML, Data Platforms).
Data Engineering & Streaming
Build scalable batch and real-time data pipelines using Apache Flink.
Design streaming and event-driven architectures for onboarding, screening, and transaction data.
Ensure data quality, lineage, and governance across platforms.
Modern Data Platform
Design and manage data lakes using Apache Iceberg.
Query and optimize large datasets using Starburst (Trino).
Implement analytics-ready data models for compliance, reporting, and risk.
Analytics & Visualization
Build dashboards and self-service analytics using Apache Superset.
Enable business users and compliance teams with actionable insights and KPIs.
Financial Crime & Advanced Analytics
Integrate and support Quantexa for entity resolution, network analytics, and financial crime detection.
Work with AML, fraud, and compliance teams to operationalize analytics use cases.
Architecture & Governance
Ensure security, data privacy, and regulatory compliance (KYC, AML, GDPR).
Optimize performance, scalability, and reliability of data and CLM platforms.
Collaborate with enterprise architects and cloud teams.
Required Skills & Experience
Must Have
Strong hands-on experience with Fenergo Core and Fen-X
Experience with Fenergo Connectivity & Data Integration Platform
Solid expertise in Apache Flink (streaming & batch)
Experience with Apache Iceberg and Starburst / Trino
Data visualization using Apache Superset
Integration or hands-on experience with Quantexa
Strong SQL and data modeling skills
Experience in banking, financial services, KYC, AML, or financial crime domains
Nice to Have
Cloud platforms: AWS, Azure, or GCP
Kafka or other messaging platforms
CI/CD and DevOps exposure
Knowledge of regulatory frameworks (FATF, AMLD, FINCEN, OCC, FCA)
Experience working with large global banking clients
We offer:
A highly competitive compensation and benefits package.
A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
10 days of paid annual leave (plus sick leave and national holidays).
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
Retirement savings plans.
A higher education certification policy.
Commuter benefits (varies by region).
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
A flat and approachable organization.
A truly diverse, fun-loving, and global work culture.
SYNECHRON'S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
$70k-85k yearly est. 2d ago
Foundry Data Engineer: ETL Automation & Dashboards
Data Freelance Hub 4.5
San Francisco, CA jobs
A data consulting firm based in San Francisco is seeking a Palantir Foundry Consultant for a contract position. The ideal candidate should have strong experience in Palantir Foundry, SQL, and PySpark, with proven skills in data pipeline development and ETL automation. Responsibilities include building data pipelines, implementing interactive dashboards, and leveraging data analysis for actionable insights. This on-site role offers an excellent opportunity for those experienced in the field.
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$114k-160k yearly est. 3d ago
Data Engineer
Pyramid Consulting, Inc. 4.1
Dallas, TX jobs
Immediate need for a talented Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Dallas, TX (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-00480
Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
Design, develop, and optimize end-to-end data pipelines using Python and PySpark
Build and maintain ETL/ELT workflows to process structured and semi-structured data
Write complex SQL queries for data transformation, validation, and performance optimization
Develop scalable data solutions using Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks
Ensure data quality, reliability, and performance across data platforms
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements
Implement best practices for data governance, security, and compliance
Monitor and troubleshoot data pipeline failures and performance issues
Support production deployments and ongoing enhancements
Key Requirements and Technology Experience:
Must have skills: Data Engineer, Azure, Python, PySpark
Strong proficiency in SQL for querying and data modeling
Hands-on experience with Python for data processing and automation
Solid experience using PySpark for distributed data processing
Experience working with Microsoft Azure data services
Understanding of data warehousing concepts and big data architectures
Experience with batch and/or real-time data processing
Ability to work independently and within cross-functional teams
Experience with Azure Databricks
Knowledge of data modelling techniques (star/snowflake schemas)
Familiarity with CI/CD pipelines and version control tools (Git)
Exposure to data security, access control, and compliance standards
Experience with streaming technologies
Knowledge of DevOps or DataOps practices
Cloud certifications (Azure preferred)
Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
$40-45 hourly 1d ago
ML Engineer: Fraud Detection & Big Data at Scale
Datavisor 4.5
Mountain View, CA jobs
A leading security technology firm in California is seeking a skilled Data Science Engineer. You will harness the power of unsupervised machine learning to detect fraudulent activities across various sectors. Ideal candidates have experience with Java/C++, data structures, and machine learning. The company offers competitive pay, flexible schedules, equity participation, health benefits, a collaborative environment, and unique perks such as catered lunches and game nights.
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$125k-177k yearly est. 20h ago
Staff Machine Learning Data Engineer
Backflip 3.7
San Francisco, CA jobs
Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper?
Backflip is building a foundation model for mechanical design: unifying the world's scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.”
Founded by a second-time CEO in the same space (first company: Markforged), Backflip combines deep industry insight with breakthrough AI research. Backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
We're building the AI foundation that tomorrow's space elevators, nanobots, and spaceships will be built in.
If you're excited to define the next generation of hard tech, come build it with us.
The Role
We're looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip's foundation model for manufacturing and CAD.
You'll design the systems, tools, and strategies that turn the world's engineering knowledge - text, geometry, and design intent - into high-quality training data.
This is a core leadership role within the AI team, driving the data architecture, augmentation, and evaluation that underpin our model's performance and evolution.
You'll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world.
What You'll Do
Architect and own Backflip's ML data pipeline, from ingestion to processing to evaluation.
Define data strategy: establish best practices for data augmentation, filtering, and sampling at scale.
Design scalable data systems for multimodal training (text, geometry, CAD, and more).
Develop and automate data collection, curation, and validation workflows.
Collaborate with MLEs to design and execute experiments that measure and improve model performance.
Build tools and metrics for dataset analysis, monitoring, and quality assurance.
Contribute to model development through insights grounded in data, shaping what, how, and when we train.
Who You Are
You've built and maintained ML data pipelines at scale, ideally for foundation or generative models, that shipped into production in the real world.
You have deep experience with data engineering for ML, including distributed systems, data extraction, transformation, and loading, and large-scale data processing (e.g. PySpark, Beam, Ray, or similar).
You're fluent in Python and experienced with ML frameworks and data formats (Parquet, TFRecord, HuggingFace datasets, etc.).
You've developed data augmentation, sampling, or curation strategies that improved model performance.
You think like both an engineer and an experimentalist: curious, analytical, and grounded in evidence.
You collaborate well across AI development, infra, and product, and enjoy building the data systems that make great models possible.
You care deeply about data quality, reproducibility, and scalability.
You're excited to help shape the future of AI for physical design.
Bonus points if:
You are comfortable working with a variety of complex data formats, e.g. for 3D geometry kernels or rendering engines.
You have an interest in math, geometry, topology, rendering, or computational geometry.
You've worked in 3D printing, CAD, or computer graphics domains.
Why Backflip
This is a rare opportunity to own the data backbone of a frontier foundation model, and help define how AI learns to design the physical world.
You'll join a world-class, mission-driven team operating at the intersection of research, engineering, and deep product sense, building systems that let people design the physical world as easily as they imagine it.
Your work will directly shape the performance, capability, and impact of Backflip's foundation model, the core of how the world will build in the future.
Let's build the tools the future will be made in.
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$126k-178k yearly est. 4d ago
Frontier AI Deployment Engineer for Government
Openai 4.2
San Francisco, CA jobs
A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements.
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$103k-144k yearly est. 3d ago
Forward Deployed Engineer, Gov
Openai 4.2
San Francisco, CA jobs
About the team
The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety.
About the role
Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams.
You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap.
This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers.
In this role you will
Own technical delivery across multiple government deployments, from first prototype to stable production.
Deeply embed with public sector customers to design and build novel applications powered by OpenAI models.
Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications.
Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact.
Proactively guide customers on maximizing business and operational value from their applications.
Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale.
Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality.
Contribute directly in the code when clarity or momentum depends on it.
Codify working patterns into tools, playbooks, or building blocks others can use.
Share field feedback with Research and Product to influence model and product development.
Keep teams moving through clarity, judgment, and consistent follow-through.
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.
Active TS/SCI clearance or equivalent
Have scoped and delivered complex systems in fast-moving or ambiguous contexts.
Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks.
Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure.
Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience.
Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences.
Spot risks early, adjust without slowing down, and model calm judgment when stakes are high.
Are humble, collaborative, and eager to help others with empathy.
Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Aff…
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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