Engineering Jobs in Arlington Va Remote

We are seeking an ICAM Engineer that will support the design, deployment, and management of identity, credential, and access management solutions. The role requires a blend of technical expertise, strategic planning, and effective communication to ensure that the ICAM solution supports the organization's security posture and business objectives.

This position is on-site in Rosslyn, Virginia.

Responsibilities Include:

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• Design, implement, and maintain robust ICAM solutions, ensuring alignment with industry best practices and regulatory requirements
  
• Collaborate with IT and cybersecurity teams to integrate ICAM solutions with existing systems and applications, facilitating seamless user experiences and secure access control
  
• Implement and configure identity providers (IdPs) and federation (SAML, OAuth/OIDC)
  
• Implement and configure Identity Governance and Administration (IGA) tools
  
• Engage with stakeholders across the organization to gather requirements, provide ICAM-related guidance, and ensure that access management needs are met in a secure and compliant manner
  
• Monitor emerging trends and technologies in the ICAM space, evaluating and recommending tools and practices
  
• Support high-level briefings and meetings with the Government
  

Qualifications:

• 
  
• Bachelor's degree in information systems, engineering, or a related field (or equivalent experience)
  
• Eight (8) years of general experience in IAM, PKI, cybersecurity or a related field
  
• Have an active DoD Top Secret clearance with SCI eligibility
  
• DoD 8570/8140 IAT Level II certification
  
• Hands-On experience in identity and access management, with hands-on experience with various ICAM tools and technologies
  
• Expertise in user provisioning, deprovisioning, single sign-on (SSO), and federation
  
• Understanding of common protocols such as LDAP, SAML and OIDC
  
• Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment
  
• Communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  

Work Environment and Physical Demand:

• 
  
• Prolonged periods sitting at a desk.
  

Compensation: $160,000-180,000

At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.

• 
  
• 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  
• Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  
• 401(k) with Match: We match 3% of your contributions with immediate vesting.
  
• Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  
• Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  
• Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  
• Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  
• Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  
• Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.
  

At AGE, you'll do work that matters, supported by a company that delivers for its people.

Acclaim Technical Services, founded in 2000, is a leading cyber operations, intelligence solutions and operations, network infrastructure, engineering and business enablement and enterprise operations company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.

We are actively hiring an Administrative Support Specialist with TS/SCI clearance and polygraph to join our Data and Systems Integration Division, working in Northern Virginia in support of coordination and administration Tasks.

ROLES AND RESPONSIBILITIES:

Tasks shall include, but are not limited to, the following:

• Coordination, organization, and scheduling of meetings. Take meting notes/minutes and meeting attendance.
• Organize and assist with office drills, filings, correspondence, tracking systems, and coordinating office requests.
• Coordinate schedules, generate minutes, and document action items.
• Assist in tracking and managing responses to actions at various levels to include but not limited to: Division Review Forums, Corporate Actions, and Ad-Hoc Front Office Actions.
• Tasking may include congressional responses, testimony reviews, and program data calls.

REQUIRED EDUCATION & EXPERIENCE:

• Thorough familiarity with standard Microsoft Office tools (Outlook, Word, Excel, PowerPoint, etc.).
• Excellent communication and organizational skills.
• Bachelor’s degree
• TS/SCI with polygraph

Engineering and consulting firm seeks a temporary-to-permanent Project Assistant to provide technical, administrative, and project management support to a team of engineers.

Responsibilities:

• Preform research and assist with written technical deliverables by drafting and proofing reports, proposals, agendas, and presentations.
• Review contracts, maintain project reports, and develop detailed records.
• Input information into internal database and documents management system, maintaining accuracy of information and updating entries regularly.
• Interface with clients and provide project management support to senior leadership by establishing deadlines and updating project statuses.
• Answer and direct incoming phone calls, photocopy and scan documents, schedule internal meetings, coordinate travel, and provide additional administrative support as needed.

Qualifications:

• Excellent verbal, written, and interpersonal communication skills.
• Highly organized and attentive to detail.
• Exemplary judgement and problem-solving skills.
• Works effectively both in a collaborative and independent working environment.
• Follows instructions closely and adheres to established departmental policies and procedures.
• Proficient in Microsoft Office applications and PDF software, such as Adobe Acrobat and exceptional technical and database management skills.
• Experience producing and analyzing complex reports.
• Strong proofreading and editing skills.
• Experience using Visio, AutoCAD, Python, and SharePoint a plus.

Requirements:

• Minimum of four (4) years of experience in professional services environment.
• Ability to work extended hours as needed.

Rate: $23 per hour while temping.

Salary: $65,000 – $70,000 per year once permanent.

The Encompass Group is partnered with a well respected heavy civil and utility contractor based in Alexandria, Virginia that is looking to add a seasoned Utility Estimator to their growing team. For decades, the company has built a strong reputation across the Mid-Atlantic region for delivering high-quality sitework, underground utility, and civil construction projects with integrity and precision. The team is collaborative, driven, and deeply committed to excellence.

Key Responsibilities

• Prepare detailed cost estimates for underground utility and civil/sitework projects
• Perform quantity takeoffs using digital estimating software
• Review plans, specifications, and contract documents
• Solicit and evaluate subcontractor and supplier pricing
• Participate in bid strategy meetings and proposal preparation
• Coordinate with project management and operations teams for project handoff
• Support value engineering efforts and cost analysis
• Optional: Represent the company at networking events and industry functions

Qualifications

• Civil construction estimating experience (general construction experience considered)
• Strong understanding of construction drawings, specifications, and bid processes
• Proficiency with PlanSwift (preferred), HCSS HeavyBid, and Agtek
• Strong analytical and organizational skills
• Excellent communication skills
• Ability to work full-time in the Alexandria, VA office
• Preferred: Experience in underground utilities and broader sitework
• Preferred: Interest in business development and networking

Compensation & Benefits

• Competitive salary based on experience
• 401(k) with company match
• Vehicle allowance and gas card
• Health, dental, and vision insurance
• Short-term disability insurance
• Long-term growth opportunity within a stable, respected company

AI Innovation Architect

Location: Hybrid; Ashburn, VA; Springfield, VA; Washington, D.C.

Clearance: U.S. Citizen; Must have an active Top-Secret Clearance or DHS Public Trust Clearance.

InDev is seeking a senior strategic and technical AI Architect responsible for designing, building, and deploying artificial intelligence solutions that support mission outcomes across the homeland security market. In this role you will bridge advanced AI capabilities - including machine learning, natural language processing, and data engineering - with operational requirements, ensuring solutions are secure, scalable, and aligned with the homeland security mission.

YOUR FUTURE DUTIES AND RESPONSIBILITIES

• Define overall system architecture, selecting and governing Artificial Intelligence / Machine Learning (AI/ML) and platform technologies, and ensuring solutions are scalable, secure, and production-ready
• Lead end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across enterprise data sources
• Partner closely with development, DevOps and data engineering teams to translate project requirements into an extensible AI architecture
• Create and promote AI strategies that align with business objectives
• Develop and coordinate POCs to test new technologies
• Evaluate and select appropriate AI tools, frameworks, and platforms (i.e., AWS, Azure, Google) to drive innovation

QUALIFICATIONS

• U.S. Citizen; Active Top-Secret Clearance or DHS Public Trust Clearance
• 8+ years of experience delivering AI solutions across federal agencies
• Bachelor’s degree in Computer Science, Engineering, or Data Science
• Deep understanding of machine learning (ML), deep learning, Natural Language Processing (NLP), and neural networks
• Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration tools like Kubernetes and Docker
• Ability to identify high-impact AI use cases and translate them into technical requirements
• Experience designing, building, and deploying advanced AI systems including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models
• Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini
• Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG
• Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions
• Experience leading multidisciplinary teams, including data scientists, engineers, and business stakeholders
• Excellent written and oral communication skills
• Ability to tailor and present information across multiple stakeholders

NICE TO HAVES

• Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)
• Experience implementing virtual agents within SaaS/PaaS platforms (e.g., ServiceNow Virtual Agent, Salesforce Agentforce, etc.)
• Experience with Google Gemini

ABOUT US

At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.

WHY INDEV

• Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
• Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
• Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
• Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
• Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
• Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.

If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications.  This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence.  

The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. 

 
This position is an onsite role, located in Tucson, AZ.

What You Will Do: 

• Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. 

• Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. 

• Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. 

• Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. 

• Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns.

Qualifications You Must Have:  

• Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following:

• Experience with proactive and reactive component obsolescence management methodologies. 

• Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. 

• Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. 

• Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. 

• Experience with BOM (Bill of Material) development and management for developmental and production programs. 

• Risk and Opportunity business case analysis experience supporting sustainment vs redesign cut in decisions. 

Qualifications We Prefer:  

• Master’s Degree in Electrical Engineering or other related science or engineering discipline 

• Ability to navigate multiple complex processes and tools. 

• Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. 

• Ability to read and interpret engineering drawings and hierarchy definition. 

• Knowledge of component failure modes by commodity 

• Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs 

• Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications 

• Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces 

• Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering.  

• Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. 

• Outstanding organizational, presentation and technical skills. 

• Ability to multi-task and appropriately prioritize responsibilities. 

• Willingness to support occasional travel.  

What We Offer  

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. 

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!  

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications.  This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence.  

The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. 

 
This position is an onsite role, located in Tucson, AZ.

What You Will Do: 

• Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. 

• Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. 

• Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. 

• Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. 

• Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns.

Qualifications You Must Have:  

• Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following:

• Experience with proactive and reactive component obsolescence management methodologies. 

• Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. 

• Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. 

• Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. 

• Experience with BOM (Bill of Material) development and management for developmental and production programs. 

• Risk and Opportunity business case analysis experience supporting sustainment vs redesign cut in decisions. 

Qualifications We Prefer:  

• Master’s Degree in Electrical Engineering or other related science or engineering discipline 

• Ability to navigate multiple complex processes and tools. 

• Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. 

• Ability to read and interpret engineering drawings and hierarchy definition. 

• Knowledge of component failure modes by commodity 

• Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs 

• Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications 

• Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces 

• Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering.  

• Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. 

• Outstanding organizational, presentation and technical skills. 

• Ability to multi-task and appropriately prioritize responsibilities. 

• Willingness to support occasional travel.  

What We Offer  

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. 

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!  

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.

About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.

Apply Today if your Background Includes:

• 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
• Strong event-driven architecture + Kafka experience
• Proven experience modernizing legacy microservices & distributed systems
• AWS Cloud experience
• Hands-on Python experience for backend/data workflows
• DevSecOps mindset: automated testing, CI/CD, secure coding
• Experience supporting both greenfield and legacy systems
• Strong relational DB experience (Postgres preferred)
• Experience handling IoT or high-volume sensor data pipelines
• Familiarity with open-source tooling and cloud-agnostic architectures
• Ability to mentor junior engineers and provide technical leadership

What the Right Professional Will Enjoy!

• Fully remote work opportunity with up to 20% travel.
• Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
• Direct impact on safety, rail operations, and national freight logistics.
• Work on high-volume IoT, event-driven architectures, cloud-native systems.
• Exposure to AI/GenAI, automation, and open-source tooling
• Leadership opportunities with junior developers

Responsibilities:

• Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
• Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
• Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
• Lead architecture, design, and deployment efforts for new and existing services.
• Refactor and support large rules-engine frameworks (600+ rulesets).
• Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
• Use Python for backend workflows, automation, and data processing tasks.
• Build automated CI/CD and testing frameworks following DevSecOps best practices.
• Work with Postgres and relational databases to tune, model, and integrate data.
• Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
• Collaborate across teams to build scalable, modern systems.
• Support both new development and the existing application footprint.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA