machine-learning jobs in San Diego

Design, build, and operate production ML systems across the full lifecycle—from data preparation and model training through deployment, monitoring, and continuous improvement. Partner with data scientists, software engineers, and platform teams to turn research prototypes into reliable, scalable services.…See more Work across recommendation, ranking, forecasting, classification, NLP, and generative AI depending on product priorities. Balance model quality, inference latency, scalability, and operational resilience as equally important outcomes.

Design, develop, and optimize embedded firmware systems for Meta's AR, VR, and wearable devices, working across kernel, drivers, and connectivity protocols (Wi-Fi, Bluetooth, Cellular, UWB). Lead hardware bring-up, silicon integration, and power/performance optimization while debugging complex multi-layer system issues and integrating components from partner teams.…See more Requires 7+ years of software development (3+ in embedded systems) with strong C/C++ expertise, large-scale codebase experience, and demonstrated technical leadership.

The Senior BI Developer & Commercial Analyst owns and modernizes the Commercial Insights & Analytics team's Power BI environment, including semantic models, DAX, Power Query, and reporting infrastructure. The role involves migrating legacy Qlik dashboards and Excel reports to Power BI, rebuilding the commercial data layer in Databricks, and delivering ad hoc analysis, forecasting, and market insights for strategic commercial initiatives.…See more Strong technical skills in Power BI, SQL, Databricks, and DAX are required, along with the ability to translate business needs into reliable, fast, and accurate reporting solutions. The position demands comfort with ambiguity, accountability, and the ability to move quickly without sacrificing data integrity.

As a System Performance Engineer at Qualcomm, you will optimize and validate power, performance, and thermal behavior of Snapdragon chipsets across mobile, compute, automotive, IoT, and data center platforms. You will profile complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance analysis plans across CPU, GPU, and AI/ML workloads, identify optimization opportunities in SoC architecture, and triage performance issues to root cause.…See more You will collaborate with cross-functional hardware, software, and architecture teams, mentor junior engineers, and prepare technical recommendations for senior leadership. The role requires strong programming skills (Python, C/C++), deep knowledge of ARM SoC architecture, memory hierarchy, system interconnects, and hands-on experience with power/performance analysis tools and benchmarks.

SAIC seeks a Principal Software Engineer to design, build, and deploy streaming data platforms and machine-learning systems for government clients. The role involves full-stack development (Python, Java, JavaScript), Kubernetes deployment, ETL pipeline design, and close client collaboration on implementation and technical documentation.…See more Requires 7–9 years of experience, U.S. citizenship, and ability to obtain TS/SCI clearance; must work on-site 3 days/week in San Diego.

Mid-level full-stack software engineer responsible for developing, deploying, and troubleshooting distributed applications across application software, operating systems, networking, virtualization, and hardware interfaces. The role requires 5+ years of professional software development experience with proficiency in Python, modern front-end frameworks, RESTful APIs, Linux administration, containerization (Podman/OCI), Git, and configuration automation (Ansible).…See more Strong emphasis on independent ownership of features from requirements through implementation and testing, with preferred experience in LLMs, generative AI, agentic workflows, and AI-tool integration for engineering tasks.

SAIC seeks a Principal Software Engineer to design and deploy streaming data platforms and machine-learning systems for defense/mission clients. You will perform full-stack development (Python, Java, JavaScript) with cloud deployment on Kubernetes, collaborate on client requirements, and lead technical implementation of data pipelines and ETL workflows.…See more The role requires 9+ years of software engineering experience, a current Secret clearance with ability to obtain TS/SCI, and hands-on expertise in cloud platforms (AWS/Azure), databases (SQL, PostgreSQL, MongoDB), and Linux/shell scripting.

Senior BI Developer & Commercial Analyst role centered on owning and modernizing the Commercial Insights & Analytics Power BI environment, including semantic models, DAX, and Power Query. The role involves migrating legacy Qlik dashboards to Power BI, rebuilding the commercial data layer in Databricks, and delivering ad hoc analysis and forecasting for strategic initiatives.…See more Requires 3–5 years of BI/commercial analytics experience, strong Power BI and SQL expertise, hands-on Databricks work, and comfort with AI-enabled workflows and automation.

A software security engineer role focused on vulnerability research, secure embedded software design, and tool development for government partners. The engineer will perform end-to-end vulnerability analysis against software stacks, design and implement embedded solutions, conduct code reviews and regression testing, and write technical documentation.…See more The role requires 2+ years of programming experience in C/C++/Java/Python, strong knowledge of x86 and ARM architectures, Linux fundamentals, reverse engineering tools (IDA Pro, Ghidra), and experience with security vulnerability identification and remediation.

Staff Data Engineer to architect and build fault-tolerant, scalable big-data platforms supporting high-velocity analytics use cases across Intuit. Responsibilities include designing data normalization, lineage, governance, and discoverability systems; collaborating with product and engineering teams on extensible platform design; and enabling analytics and GenAI/ML initiatives.…See more Requires 8+ years in product/web analytics, advanced SQL and big-data technologies (Redshift, Spark, Hive, BigQuery), Python or Java/Scala, and data pipeline orchestration experience. Role includes code reviews, CI/CD process ownership, mentorship, and translating business strategy into data-driven insights.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Implement IoT integrations, digital lab twins, telemetry systems, and maintain integrations across automation schedulers, LIMS, and data platforms using DevOps best practices and cloud solutions. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience (or equivalent M.S./B.S. with 10+/13+ years respectively), strong proficiency in Python, SQL, and JavaScript, and experience with lab digitalization and autonomous systems.

Lead planning, execution, and delivery of complex software releases for Hivemind Enterprise, a autonomy software platform used by Shield AI and third parties to build unmanned systems. Drive major test automation initiatives, manage large-scale test operations from CI through HIL and flight test, and collaborate across engineering, product, and customer teams to define scope, timelines, and resource allocation.…See more Requires 8+ years in program/engineering management or software test engineering with deep technical foundations in test engineering, software development lifecycle optimization, and complex HW/SW systems testing.

This is an early-career rotational program role supporting Consumer IT through reporting, analytics, data validation, and light technical development. The developer will perform data pulls and analysis, validate data against business rules, administer platforms like Azure DevOps and Tableau, assist with automation and workflow improvements, and support AI-enabled reporting solutions.…See more The role requires a Bachelor's degree in information systems, computer science, data analytics, or related field, with strong analytical skills, Excel proficiency, SQL knowledge preferred, and exposure to scripting languages like Python or PowerShell.

The MLOps Engineer II designs, develops, and operates scalable machine learning infrastructure and deployment pipelines on AWS, working with data scientists and cloud engineers to productionize ML models. Responsibilities include building ML pipelines using SageMaker, Lambda, Step Functions, and S3; implementing CI/CD pipelines with GitHub and AWS tools; developing Infrastructure-as-Code using CloudFormation, Terraform, or AWS CDK; and ensuring production ML systems are reliable, secure, and cost-efficient.…See more The role requires strong Python coding skills, hands-on AWS experience, production ML deployment experience, and the ability to independently implement technical solutions. Candidates will also lead FinOps optimization, implement monitoring and alerting, ensure security and compliance, and mentor junior engineers.

Build practical generative AI applications as a Python backend engineer, combining LLMs, RAG, and agentic AI systems. You'll develop FastAPI/Flask services, integrate LangChain/LangGraph workflows, manage vector databases, and deploy on AWS.…See more The role requires hands-on Python backend skills, prompt engineering, API design, and the ability to debug and own full-stack AI-powered services from development through testing and deployment.

Design, build, and maintain secure enterprise data platforms supporting AI/ML workloads, with responsibility for database optimization, CI/CD automation, and DoD compliance. Mentor junior engineers and provide technical leadership on architecture decisions.…See more Implement security controls aligned with NIST 800-53, RMF, and DISA STIG standards throughout the platform lifecycle. Develop ETL/ELT pipelines, support data lakes and lakehouses, and evaluate emerging data technologies for mission fit.

Shield AI seeks software engineer interns for a 10–12 week paid program, working on autonomous systems across applications, embedded firmware, machine learning, and systems development. Interns will analyze requirements, write production-quality code in languages like C++, Python, or Java, and ship real features using Agile practices alongside full-time engineers.…See more The role spans user-facing applications, embedded flight software, perception models, and platform tools that support autonomy pipelines. Candidates should have a strong foundation in data structures, algorithms, version control (Git), and collaborative development.

As a Senior Data Scientist on PlayStation's Decision Science team, you will lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate PS4-to-PS5 migration initiatives, growth marketing strategies, and campaign performance. You'll apply advanced causal inference methods, develop experimentation frameworks and best practices, and independently extract and analyze data using SQL and Python.…See more The role requires deep expertise in experimental design, statistical rigor, and the ability to communicate findings to drive business decisions across product, engineering, and marketing teams.

Lead the design, development, and support of enterprise automation solutions across the Microsoft ecosystem, including Microsoft Intune, Microsoft 365, Entra ID, Azure Automation, Power Platform, Copilot Studio, and Azure AI. The role requires deep expertise in Microsoft cloud technologies and hands-on experience building scalable automation solutions using PowerShell, Azure Functions, Logic Apps, Microsoft Graph API, and AI-driven workflows.…See more Responsibilities include endpoint management, Microsoft 365 administration automation, Power Automate/Power Apps design, Azure AI integration, and operational reporting. The ideal candidate has 5+ years of enterprise Microsoft cloud experience and a passion for reducing manual effort through intelligent, secure automation.

Principal AI Platform Engineer leading enterprise AI infrastructure strategy and governance at the platform boundary. Responsible for implementing and maintaining Bedrock Guardrails and Microsoft Purview DLP controls, managing AI vendor relationships with Microsoft and AWS, producing governance artifacts and runbooks, and leading internal AI adoption through community building and enablement.…See more Requires 7–10 years of cloud/DevOps experience with hands-on production expertise in AWS Bedrock (Agents, Knowledge Bases, Guardrails) and Microsoft 365 Copilot deployment in enterprise environments, including data integration, RAG architecture, and AI security controls.

Design and improve autonomous AI trading systems deployed in financial markets, with core work on model architectures, training frameworks, and performance evaluation. You'll integrate novel data sources, optimize models for measurable accuracy gains and reduced training time, and build monitoring systems to detect anomalies in live trading strategies.…See more Requires strong ML fundamentals with hands-on experience in PyTorch, TensorFlow, or JAX, feature engineering, and model optimization; minimum 2 years of ML development experience preferred.

This role combines software engineering leadership with lab automation integration and early-stage AI prototyping. You will own the translation layer between high-level workflow logic and low-level instrument control, deploy and maintain containerized services using Docker and Kubernetes with CI/CD practices, and build scalable Python applications connecting experimental readouts with downstream analysis tools.…See more You'll collaborate on incorporating AI-driven decision-making into automation workflows, mentor the automation engineering team, and help shape the technical roadmap for autonomous discovery systems.

Qualcomm seeks an ML/computer vision engineer to develop and optimize AI-accelerated vision algorithms for edge devices (mobile, automotive, robotics, AR/VR). You will design algorithms for depth estimation, optical flow, video super-resolution, 3D reconstruction, and SLAM, then optimize deep learning models for resource-constrained SoCs.…See more The role spans algorithm research, model architecture design, performance profiling across memory/compute/power/bandwidth, and cross-functional collaboration with hardware and systems teams to ship production models for key customer segments.

Senior Platform Engineer responsible for designing, building, and maintaining secure, scalable cloud infrastructure in AWS GovCloud to support AI/ML workloads and autonomous systems for DoD. You will manage container orchestration (Kubernetes, OpenShift), implement Infrastructure as Code (Terraform, Ansible, CloudFormation), ensure DoD cybersecurity and STIG compliance, optimize cloud resources, and collaborate with DevSecOps teams on deployment pipelines.…See more The role requires 9–14+ years of experience depending on degree, an active TS clearance at hire, and ability to obtain TS/SCI, with hands-on troubleshooting, mentorship of junior engineers, and technical documentation responsibilities.

Shield AI seeks software engineering interns for a 10–12 week paid program working on autonomous systems across applications, embedded firmware, machine learning, and systems platforms. Interns will analyze requirements, write production-quality code, and ship real features alongside full-time engineers using Agile practices.…See more Candidates should have proficiency in modern programming languages (C, C++, Python, Java, or JavaScript), solid foundations in data structures and algorithms, version control experience, and strong problem-solving skills. The role offers hands-on mentorship and potential for a full-time offer upon completion.