Software Engineer - Java/ Spring Boot/ Kubernetes/AWS
Fico 4.9
Requirements engineer job at FICO
FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity
"As a Software Engineer on the Identity and Access Management team, you will support the design, development, and implementation of IAM solutions for FICO's Decision Management Platform. You'll be part of a collaborative team working on our enterprise IAM ecosystem, gaining hands-on experience with modern authentication standards and platforms such as Okta, Ping Identity, and OpenAM/OpenDJ while receiving mentorship from senior engineers."
- VP, Software Engineering
What You'll Contribute
Support the design, development, and implementation of IAM solutions for FICO Platform.
Responsible for coding, design, and development of a cloud-native software platform (SaaS (Software as a Service)).
Build a modern and secure REST APIs running in a containerized environment together with AWS (Amazon Web Services) technologies such as Lambda, Docker/ECS, EC2, cloud formation together with Spring Framework and Spring Boot.
Integrate IAM platforms with various enterprise and cloud-native applications.
Contribute to the adoption of authentication and authorization standards including SAML, OAuth 2.0, OIDC, and JWT.
Collaborate closely with product, security, infrastructure, and application development teams to implement IAM best practices.
Help maintain and improve IAM policies, procedures, and lifecycle management processes.
Create high-quality, verified implementations with the unit tests and automated behaviour-driven tests.
Support troubleshooting and performance tuning across identity services.
Learn from and contribute to architectural discussions and roadmap planning for IAM capabilities.
Grow your expertise through hands-on development and guidance from experienced team members and opportunity to learn new skills in other functional areas of the product.
What We're Seeking
Strong hands-on experience coding with Java/Spring Boot and building cloud native software platforms.
Solid hands-on coding experience with Java & Spring frameworks, with interest in security and integration.
In-depth experience in building software stacks using AWS technologies and containerization technologies (Docker, Kubernetes) and ability to troubleshoot and debug on cloud.
Extensive experience with Databases.
Analyzing, debugging, and optimizing the performance of distributed systems.
Foundational understanding of authentication concepts (SAML, JWT, OAuth 2.0, OIDC) or strong willingness to learn.
Experience with IAM platforms like Okta, Ping Identity, or OpenAM/OpenDJ preferred.
Basic familiarity with LDAP and directory concepts.
Scripting experience with Shell, Python, or Groovy.
Eagerness to learn about integrating IAM solutions with SaaS platforms & applications.
Exposure to building CI/CD pipelines (Jenkins, GitLab, Azure DevOps).
General understanding of security principles with desire to deepen knowledge.
Experience with AWS IAM, Azure AD is a plus.
Strong problem-solving skills and collaborative mindset.
Our Offer to You
An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
The targeted base pay range for this role is: $87,000 to $136,000 with this range reflecting differences in candidate knowledge, skills and experience.
#LI-RR1
#LI-remote
Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today - Big Data analytics. You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO makes a real difference in the way businesses operate worldwide:
• Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders.
• Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems.
• Lending - 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO's solutions, placing us among the world's top 100 software companies by revenue. We help many of the world's largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people - just like you - who thrive on the collaboration and innovation that's nurtured by a diverse and inclusive environment. We'll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!
Learn more about how you can fulfil your potential at ********************
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we're proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don't meet all stated qualifications. While our qualifications are clearly related to role success, each candidate's profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.
Information submitted with your application is subject to the FICO Privacy policy at **************************************
$87k-136k yearly Auto-Apply 3d ago
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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 2d 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 5d 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 3d 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. 1d 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. 4d 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 2d ago
Back - End Engineer
ITR Group 3.3
Minneapolis, MN jobs
Opportunity available for an experienced Back-End Developer for a contract, hybrid role (W2 only; no 3rd parties or C2C) to design, develop, and maintain scalable backend services. The ideal candidate will have strong experience with Java, Kotlin, Spring, and PostgreSQL, along with expertise in building and consuming RESTful APIs and developing microservices architectures. You will collaborate with cross-functional teams to deliver secure, high-performing, and maintainable solutions while contributing to architecture and best practices.
Key Responsibilities
Design, develop, and maintain microservices-based backend systems and RESTful APIs
Build scalable and secure services using Java and Kotlin with Spring / Spring Boot
Develop and optimize PostgreSQL database schemas
Implement containerized applications using Docker
Collaborate with team members using Git and follow established workflows
Write clean, testable, and maintainable code
Troubleshoot, debug, and resolve backend performance and reliability issues
Participate in code and design reviews, contributing to architecture and microservices best practices
Support hybrid work model with partial on-site presence as requiredRequired Skills & Qualifications
Strong experience with Java and Kotlin
Hands-on experience with Spring / Spring Boot
Experience developing and maintaining RESTful APIs
Experience designing and implementing microservices architectures
Proficiency with PostgreSQL or other relational databases
Experience with Docker for containerized application development
Strong knowledge of Git and collaborative development workflows
Understanding of backend performance, scalability, and security best practices
ITR Group offers a competitive compensation and benefits package, including medical, dental, and 401(k) for eligible employees. The W2 pay range for this type of role is approximately $80.00 - $90.00 per billable hour. This range is an estimate and not a guarantee of compensation. The final rate will be determined by factors such as experience, market trends, and specific job assignments. Discover more about how ITR Group connects top talent with leading client opportunities.
$80-90 hourly 4d 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
We design, build and maintain infrastructure to support agentic workflows for Siri. Our team is in charge of data generation, introspection and evaluation frameworks that are key to efficiently developing foundation models and agentic workflows for Siri applications. In this team you will have the opportunity to work at the intersection of with cutting edge foundation models and products.
Minimum Qualifications
Strong background in computer science: algorithms, data structures and system design
3+ year experience on large scale distributed system design, operation and optimization
Experience with SQL/NoSQL database technologies, data warehouse frameworks like BigQuery/Snowflake/RedShift/Iceberg and data pipeline frameworks like GCP Dataflow/Apache Beam/Spark/Kafka
Experience processing data for ML applications at scale
Excellent interpersonal skills able to work independently as well as cross-functionally
Preferred Qualifications
Experience fine-tuning and evaluating Large Language Models
Experience with Vector Databases
Experience deploying and serving of LLMs
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 $147,400 and $272,100, 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 .
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$147.4k-272.1k yearly 1d ago
Front-End Engineer (GenAI)
ITR Group 3.3
Minneapolis, MN jobs
Opportunity available for a Contract Front-End Engineer to help build designer-facing GenAI-powered tools that accelerate the design process. This role focuses on developing high-quality frontend experiences that connect designers and trend analysts to emerging trend data, enabling fast, accurate insight discovery and decision-making.
W2 only - No C2C or third-party vendors.
You will collaborate closely with product, UX, and data teams to deliver highly usable, visually compelling applications that support complex data exploration and AI-driven workflows.
Required Qualifications
5+ years of professional front-end engineering experience
Strong expertise in TypeScript and React.js
Experience building interactive data visualization and analytics applications
Ability to work effectively in a fast-paced Agile contract environment
Experience collaborating with UX and Design teams on user-centered application development
Experience working in containerized environments (Docker/Kubernetes preferred)
Hands-on experience or strong working knowledge of GenAI frameworks and patterns, including:
LangGraph, LangChain, Google GenAI, or similar
Context Engineering, RAG, and Agentic AI
Familiarity with platforms such as ChatGPT, Gemini, or other commercial AI tools
ITR Group offers a competitive compensation and benefits package, including medical, dental, and 401(k) for eligible employees. The W2 pay range for this type of role is approximately $90.00 - $100.00 per billable hour. This range is an estimate and not a guarantee of compensation. The final rate will be determined by factors such as experience, market trends, and specific job assignments. Discover more about how ITR Group connects top talent with leading client opportunities.
$69k-91k yearly est. 4d 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. 5d 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. 3d 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. 1d 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. 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. 4d 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. 1d 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. 5d 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. 4d 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.
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