machine-learning jobs in San Diego

Lead a technical engineering team at the intersection of AI, cybersecurity, and cloud platforms. Design and implement secure AI architectures, cloud security solutions, and DevSecOps practices while mentoring engineers and building reusable reference architectures and playbooks.…See more Require 6+ years of hands-on experience in software engineering, AI engineering, cybersecurity, or cloud security, with demonstrated proficiency in at least one major AI platform (Claude, OpenAI, Gemini, Bedrock, or Vertex AI) and cloud application development in Python, TypeScript, JavaScript, Go, or Java.

Solution Architect role designing end-to-end digital and AI product architectures for supply chain and managed services. Translates business requirements into scalable technical designs, defines enterprise system integrations and API strategies, and evaluates technology trade-offs across cost, speed, risk, and scalability.…See more Requires 7+ years in solution/systems architecture and 3+ years solutioning API integrations; preferred experience includes AI, machine learning, analytics, cloud-native architectures, and data governance.

Lead a team of AI/ML engineers building autonomous medical coding solutions that process millions of clinical charts daily. Translate emerging advances in machine learning and LLMs into production-ready systems, define engineering strategy for ML/LLM-powered products at scale, and ensure systems meet stringent requirements for accuracy, reliability, privacy, security, and explainability.…See more Partner across data science, clinical, compliance, and software engineering teams to architect scalable inference pipelines, establish evaluation frameworks, and integrate AI capabilities into SaaS products. Requires 6+ years of AI/ML engineering experience, 2+ years leading technical teams, and hands-on expertise in production ML pipelines, LLMs, RAG, and MLOps platforms.

This is a junior-level, onsite rotational program at Axos Bank's Consumer IT AI Team for someone with a CS or related degree and Python/JavaScript experience. You'll work on production AI agents from day one under senior mentorship, learning prompt engineering, building integration code connecting AI systems to platforms like GitHub and Azure DevOps, constructing Model Context Protocol (MCP) servers, and maintaining AI plugins and documentation.…See more You'll write unit tests, participate in code reviews and CI/CD workflows, and contribute to internal documentation while building SDLC fluency through sprint ceremonies.

Senior Software Engineer role focused on embedded systems and firmware development for Google's XR (augmented/virtual/mixed reality) platforms and devices. The role requires 5+ years of C/C++ software development experience, 3+ years with embedded operating systems, and demonstrated expertise in software design, architecture, and product testing.…See more Responsibilities include writing and testing product code, leading design reviews, code review and feedback, debugging system issues, and contributing to technical documentation.

The AI Scientific Software Engineer will develop MARIE, an AI-powered scientific companion within BIOVIA's Pipeline Pilot platform, focusing on prompt engineering, agentic AI frameworks, and AI safety mechanisms. Responsibilities include designing and iterating on prompts for improved reasoning and factuality, building multi-step agentic workflows with tool calling and memory management, and implementing guardrails and validation systems.…See more The role requires a PhD in Life Sciences or Computer Science with 3+ years of software development experience, strong LLM fundamentals knowledge, hands-on experience with RAG systems and frameworks like LangChain/LangGraph, and familiarity with pharmaceutical and biotech workflows.

Qualcomm's GPU Research Team seeks GPU architects to design next-generation GPU hardware architectures for AI, ML, and GPGPU computing across mobile, Windows on Snapdragon, and data center platforms. The role involves collaborating with software and hardware teams to develop architectural solutions, optimize for workloads like large language models and vision models, and contribute to open-source GPU/ML projects.…See more Required skills include strong GPU architecture knowledge, proficiency with APIs (OpenCL, CUDA, Vulkan, Direct3D 12), and C/C++ programming; hands-on CUDA kernel optimization and familiarity with frameworks like llama.cpp or vLLM are highly valued.

Senior consultant leading data management strategy execution and architecture design for finance applications, with focus on machine learning and generative AI integration. Responsible for defining data requirements, designing extensible common information models, and developing the FDL Blueprint solution offering.…See more Will mentor junior consultants, collaborate across service lines, and establish data governance frameworks while staying current with emerging technologies in Azure, ML, and Gen AI.

Lead a team of engineers building AI-driven distributed systems solutions for enterprise clients as a Manager in Application Design and Development. You will translate business requirements into technical architecture, guide teams through full-stack development (frontend, backend, APIs, data visualization), and apply machine learning and generative AI to real-world problems.…See more The role spans frontend frameworks (Angular, TypeScript, JavaScript), backend services (Java, Python, FastAPI, microservices), databases (PostgreSQL), cloud platforms (Azure), and modern DevOps practices (CI/CD, TDD). You'll work in agile delivery, manage technical talent, and teach clients how to build and scale commercial software.

Design and build production-ready agentic AI applications that automate mission-critical workflows. You will implement agent orchestration frameworks, tool-calling patterns, and multi-agent interactions using LLM platforms like AWS Bedrock and OpenAI, working in fast 4-week prototype cycles with a small high-performing team.…See more The role requires end-to-end technical ownership from design through deployment, including prompt engineering, retrieval patterns (RAG/GraphRAG), and observability implementation. You'll collaborate with product leads and solution architects to deliver reliable, cost-effective agent-based solutions that solve client challenges.

This is a Principal cloud architect role for AWS focused on healthcare and life sciences customers. The role requires 7+ years of experience with data and AI technologies (ML, GenAI, analytics, databases), deep knowledge of AWS services (SageMaker, Bedrock, Neptune, Redshift, S3), and proven ability to shape large-scale AI and data transformation programs in pharma/biotech R&D and clinical development.…See more Responsibilities include technical pre-sales, solution architecture, opportunity shaping, and translating complex data architecture concepts for both scientific and executive stakeholders. The ideal candidate has domain expertise in R&D data ecosystems, regulatory frameworks (GxP, 21 CFR Part 11, HIPAA, GDPR), and data standards (FHIR).

Lead enterprise data and AI architecture engagements at Deloitte, designing end-to-end Snowflake solutions for finance teams. You'll architect data pipelines, governance, ML/AI systems, and semantic models using Snowflake, Python, Snowpark, and Cortex AI.…See more The role combines technical leadership—guiding SQL/Python pipeline design, data quality, and MLOps—with client management, mentoring, and delivery accountability across planning, forecasting, close, and reporting use cases.

As an SDET III, you will lead testing strategy and automation efforts for large-scale client programs, interfacing between clients and Deloitte delivery teams. You'll define and execute comprehensive testing solutions across system integration, UAT, performance, API, and cloud environments, using a combination of commercial tools (MicroFocus UFT, Rational) and open-source frameworks (Selenium, Cucumber, REST Assured).…See more The role requires 6+ years of consulting or industry experience, 4+ years leading testing programs, 2+ years managing onshore/offshore teams, and hands-on scripting expertise. You'll apply AI/LLM evaluation skills and prompt engineering to generate and refine automated test scripts, with preferred exposure to machine learning, NLP, and AI-assisted defect analysis.

You will develop AI-powered scientific software for MARIE, an AI companion within BIOVIA's Pipeline Pilot platform serving pharmaceutical and biotech researchers. The role focuses on prompt engineering, agentic AI frameworks, and AI safety mechanisms—designing and optimizing LLM-based workflows for multi-step scientific tasks.…See more You'll implement RAG systems, semantic search, vector databases, and guardrails while collaborating across engineering, QA, product, and technical teams using Agile practices. The position requires a PhD in Life Sciences or Computer Science, 3+ years of software development, and hands-on experience with LLMs, agentic frameworks like LangChain, and prompt optimization.

Fuse seeks an experienced early-career DevOps Engineer to design, build, and maintain mission-critical software deployment pipelines and infrastructure. You will own Jenkins and GitLab CI/CD pipelines, container orchestration (Podman/Docker), cloud tooling (AWS/Azure), and development tooling (SonarQube, Nexus, Ansible).…See more Responsibilities include performing code reviews, managing builds and deployments, troubleshooting integration issues, enforcing development processes, and recommending emerging DevOps tooling. The role requires 2–6 years of DevOps experience, 2+ years of hands-on C++, strong Linux knowledge, CI/CD pipeline expertise, and the ability to obtain a US Secret clearance.

Senior Software Development Engineer in Test (SDET) responsible for designing, developing, and maintaining test automation frameworks and code for web applications using C#, Python, and Selenium. The role involves creating shared libraries and tools to increase team productivity, conducting functional/integration/E2E testing, and recommending technical strategies to enhance product quality.…See more Requires 5+ years of software development experience, strong proficiency in modern programming languages, SQL database knowledge, and familiarity with the Microsoft technical stack (Visual Studio, Azure, DevOps, .NET, SQL Server).

An internship role for students pursuing degrees in computer science, AI, machine learning, or related fields to gain hands-on experience building and testing AI solutions under mentor guidance. The intern will work with approved AI tools, APIs, and development environments to prototype components, scripts, and integrations while learning secure, responsible AI practices.…See more Responsibilities include participating in user discussions, building small prototypes, running tests, documenting results, and contributing to starter kits and project documentation.

Design, implement, and test C++ and Python features for autonomous UAV software, including embedded firmware for real-time flight control, autonomy algorithms (planning, perception, multi-agent coordination), and sensor integration. Develop unit and integration tests, work with simulation and hardware-in-the-loop testing, and collaborate across electrical and mechanical engineering teams to validate software requirements and integrate capabilities across platform interfaces and command-and-control systems.See more

Build and ship agent-based AI verification workflows from proof-of-concept to production, designing test cases for non-deterministic agent behavior and hardening code for quality, observability, and cost. Own your slice of the SDLC—implementation, testing, deployment—while building data ingestion pipelines on AWS and collaborating with Product and senior engineers to translate business requirements into features.…See more Requires 2–4 years of software engineering experience, strong Python or backend language skills, SQL/NoSQL knowledge, and hands-on experience building LLM-based projects that call tools, chain steps, or coordinate multiple operations.

This role bridges sales and delivery for financial services clients, requiring someone who can translate technical AI/ML and data capabilities into business outcomes without writing code. The person will maintain reusable delivery assets, run workshops and demos, scope technology implementations alongside engineering teams, and operate as a trusted advisor who understands both client pain points and product capability.…See more Success demands fluency in financial services (banking, insurance, investment management), customer data platforms, data segmentation, and emerging AI/LLM use cases, paired with strong executive communication and the ability to manage multiple concurrent engagements within defined scope and timeline guardrails.

Build and ship agentic AI capabilities (e.g., Vertex AI-based Discovery Agents) from design through production, owning the full software development lifecycle, implementation, testing, and deployment. Harden proof-of-concept agent code into production-grade quality with strong error handling, observability, and testing.…See more Design test cases and evaluation checks for non-deterministic agent behavior, and build data ingestion pipelines using AWS and big-data tooling. Contribute to production support including monitoring, alerting, and incident response for an AI-driven service.

As an AI and Data Science Engineer III, you will translate business goals into machine learning use cases and model design approaches, perform exploratory data analysis to identify patterns and attribution opportunities, and apply clustering, sampling, feature transformation, and predictive modeling techniques. You'll build proofs of concept, validate solutions, and collaborate with clients and cross-functional analytics and data engineering teams throughout delivery.…See more The role requires 5+ years of industry experience applying data science or machine learning methods, with a bachelor's degree in a quantitative field such as engineering, mathematics, physics, machine learning, statistics, or computer science.

Senior Staff Engineer leading the development of embedded AI software and runtime systems for on-device machine learning inference and training on Qualcomm hardware. Responsibilities include designing and optimizing ML/AI frameworks, compiler technologies, and runtime software for performance and power efficiency; developing agentic AI and novel ML solutions; and providing technical leadership across a multidisciplinary team.…See more Requires 6+ years of software/hardware/systems engineering experience, strong C/C++ and Python capabilities, deep embedded systems knowledge, and expertise in low-level OS-hardware interactions and ML optimization domains like NLP and multimedia.

Senior Director leading AI software architecture and strategy for Snapdragon mobile platforms, spanning computer vision, audio, and generative AI. Responsibilities include designing complex AI features, conducting cross-functional research and prototyping, serving as technical expert in commercializing solutions, and influencing external partners and roadmap strategy.…See more Requires 10+ years of semiconductor product development experience, 5+ years in technical leadership, and deep expertise in AI frameworks, mobile platforms, and heterogeneous system optimization.

Design, implement, and test C++ and Python features for autonomous UAV software, including embedded firmware for real-time flight control, autonomy algorithms (planning, perception, multi-agent coordination), and sensor integration. Build unit and integration tests, validate software behavior through simulation and hardware-in-the-loop testing, and collaborate cross-functionally with electrical and mechanical engineers.…See more This is a new-graduate role requiring proficiency in C++/Python, strong fundamentals in data structures and algorithms, and ability to own well-scoped tasks with limited guidance.