machine-learning jobs in San Diego

Join Booz Allen Hamilton as an AI Software Developer Intern supporting U.S. Navy missions in San Diego.…See more You'll write and debug code (primarily Python), contribute to AI/ML-enabled automation projects, and work on software integration tasks alongside experienced engineers and cybersecurity specialists. The role is structured to support your academic commitments while you pursue a bachelor's degree in computer science, cybersecurity, or a related STEM field by Summer 2027.

Lead the design, development, and operation of Qualcomm's enterprise AI platform, supporting agentic AI, model lifecycle management, and multi-cloud ML/inference infrastructure. Own core platform services including identity/RBAC, secrets, service meshes, observability, vector stores, and model gateways across on-prem GPU clusters and managed cloud services.…See more Manage a ~10-engineer global team (platform, SRE, MLOps/LLMOps), drive incident response and continuous improvement, and partner with product and security teams on AI governance and high-impact use cases.

Design, build, and maintain scalable batch and streaming data pipelines on AWS and Databricks, developing reusable data engineering frameworks and standardized patterns for ingestion, transformation, and validation. Leverage AI-based techniques to automate data quality checks, anomaly detection, and pipeline self-healing.…See more Define SLIs/SLOs, participate in on-call rotations, and mentor junior engineers while driving adoption of data frameworks and best practices across analytics, reporting, and AI/ML teams.

Staff Analytics Engineer responsible for designing and operationalizing agentic AI workflows, ML models, and Databricks applications at scale. Will build multi-step agent pipelines combining rules, ML models, and reasoning to solve complex business problems, then productionize them with monitoring, drift detection, and retraining strategies.…See more Requires 5+ years of hands-on ML engineering or data science with production system ownership, deep Python proficiency, strong traditional ML foundations, and proven Databricks expertise including notebook apps, dashboards, and ML pipelines. Will serve as technical authority, mentor peers, and influence architectural decisions across teams.

As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems powering Firestorm's manufacturing intelligence platform, including scheduling, resource allocation, and constraint satisfaction for a planning workbench and simulation engine. You'll design analytics layers for defect trends and operational intelligence, lead integration of open-source and custom LLMs for cloud and edge deployment in DoD contexts, and productionize algorithmic systems alongside full-stack and infrastructure teams.…See more The role requires 5+ years of applied optimization, operations research, or ML systems experience with deep Python proficiency, fluency in optimization frameworks (MILP solvers, OR-Tools), and a proven track record shipping production systems—not prototypes—to real users. You'll partner with manufacturing domain experts to translate operational constraints into model formulations.

Develop and optimize machine learning software for Qualcomm's AI Stack SDKs (QAIRT, Genie), enabling efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Design core runtime components for resource-constrained AI systems, validate performance/accuracy across use cases, and debug complex issues in embedded AI environments.…See more Requires C/C++ proficiency, Linux development experience, and strong software engineering fundamentals; 2+ years experience for senior roles, project/internship experience for entry-level. Preferred: embedded systems background, generative AI model familiarity, hardware acceleration knowledge, and experience with Qualcomm AI Stack products.

Senior Windows audio software engineer responsible for end-to-end feature development of Voice AI capabilities on Windows, including wake-on-voice, on-device ASR, translation, transcription, and TTS. The role requires designing and implementing Windows audio and driver stack solutions that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets, with work spanning user-mode and kernel-mode boundaries (UMDF/KMDF).…See more Responsibilities include gathering technical requirements, optimizing low-power audio architecture for always-on use cases, and debugging complex multi-threaded and multi-processor issues across hardware/software boundaries. The engineer will collaborate with cross-functional teams (hardware, DSP, systems, ML, product) and communicate status, risks, and roadmap contributions to technical leads.

As an IC5 Senior Staff Engineer, you will architect and deliver large-scale distributed data platform components centered on Kafka, Apache Iceberg, and Apache Spark. You will lead complex technical initiatives, design high-performance data ingestion pipelines, and define engineering best practices across the organization.…See more The role demands deep expertise in distributed systems, JVM performance tuning, stream processing, and full-stack Data Lake solutions, with hands-on delivery of production systems and mentorship of engineering teams.

As a Data Engineer at Booz Allen Hamilton, you will develop and deploy data pipelines and platforms that organize disparate data sources to yield actionable insights for mission-critical applications. You'll work with Python, SQL, or similar languages to build ETL operations, manage relational and non-relational databases, and support analytics workloads on cloud platforms.…See more The role requires 1+ years of data engineering, ETL, or pipeline development experience, proficiency with source control (GitHub/Atlassian), and Linux/Windows scripting. You'll collaborate with analysts, developers, and data scientists in an agile environment to design, develop, and maintain scalable data solutions.

A junior software developer role focused on designing, implementing, and integrating AI/LLM-enabled automation and analytics for Navy cybersecurity and mission workflows. You will participate in technical discussions with cybersecurity specialists and mission partners, contribute to solution architecture and tradeoff analysis, and deliver hands-on work including scripts, APIs, and AI-assisted workflows.…See more The role requires hands-on coding in Python, API integration (REST/HTTP), version control (Git), and the ability to communicate technical concepts to non-specialists while respecting RMF, security controls, and responsible AI practices in classified or controlled environments.

Senior software engineer developing embedded real-time operating systems (QuRT OS, Zephyr) for high-performance microprocessors. Independently designs, develops, and tests well-defined blocks and complex features while meeting quality, functionality, power, and performance standards.…See more Requires 2+ years of microprocessor design experience, proficiency in C/C++ or Python, and knowledge of embedded systems and computer architecture. Collaborate with cross-functional teams on design reviews, troubleshoot multi-system issues, and stay current with industry trends in DSP, machine learning, and modem technologies.

Principal-level AI/ML Platform Architect responsible for designing and optimizing AI/ML systems across Qualcomm's hardware and software stacks, particularly for Windows PC/Laptop platforms. The role requires deep expertise in performance optimization, bottleneck analysis, and end-to-end system characterization across GPUs, NPUs, and multiple AI domains (computer vision, audio, generative AI, agentic AI).…See more Candidates must demonstrate 15+ years in high-performance computing systems engineering with 5+ years specifically in AI system optimization, and will interface with cross-functional teams to deliver reference implementations, tools, and documentation for third-party developers.

Senior AI Software Engineer responsible for designing, developing, and deploying LLM-powered applications and AI-assisted development workflows within a large-scale enterprise Linux environment (~6M+ LOC, primarily C/C++). Build high-performance GPU-based inference pipelines using vLLM and modern frameworks, develop agentic AI workflows with RAG and tool calling, and integrate LLMs with vector databases and enterprise systems into production.…See more Collaborate across software engineers, AI researchers, and platform teams to productionize AI services while optimizing for performance, latency, scalability, and operational efficiency. Requires 4+ years software development, strong Linux/Red Hat experience, advanced C/C++, Python, LLM/RAG expertise, and GitLab CI/CD workflows.

Senior engineer at Deloitte GPS delivering production-quality code for GenAI/LLM-powered solutions, with 7+ years in software/data engineering and 1+ years hands-on experience building and deploying Claude-based applications. Responsibilities include designing extensible functionality, leading project workstreams, translating business problems into AI solutions, and contributing reusable assets (code, prompt libraries, runbooks).…See more Strong emphasis on testing, CI/CD, logging, documentation, and mentoring junior team members in fast-paced, ambiguous client delivery environments.

This Technical Program Manager role manages the integration of Agentic AI into Qualcomm's engineering infrastructure, focusing on governance, security, and platform enablement. You will coordinate across GSOC, Qualcomm AI Foundations, Cybersecurity, and engineering teams to define requirements, track milestones, and align roadmaps for AI asset management and deployment.…See more The position requires driving cross-functional initiatives that bridge AI platform capabilities with security, compliance, and operational readiness while communicating progress to technical and executive stakeholders.

DevOps Engineer to build, maintain, and optimize AWS cloud infrastructure and CI/CD deployment systems, working with ECS, EKS, and EC2 workloads. The role requires hands-on experience with Infrastructure as Code (Terraform), containerization (Docker/Kubernetes), monitoring tools (Grafana), and CI/CD pipelines, with growing ownership of services and systems.…See more You'll troubleshoot infrastructure and application issues, collaborate with engineering teams on deployment workflows, and apply AI tooling to improve infrastructure automation and operational efficiency. The position reports to a DevOps Manager and is based in San Diego on a hybrid schedule.

The Senior Machine Learning Engineer will design and develop advanced ML models for automotive radar signal processing, including end-to-end pipelines from data preprocessing through model training and optimization. The role requires expertise in deep learning architectures (CNNs, RNNs, Transformers), radar signal analysis, and deploying models for real-time embedded systems with constraints on latency, memory, and power.…See more Responsibilities include evaluating state-of-the-art ML techniques, optimizing models for production, and translating research into scalable algorithms. The position demands a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong proficiency in Python and frameworks like PyTorch or TensorFlow, and foundational knowledge of radar fundamentals.

Shield AI seeks a Senior Staff Engineer to design and deploy autonomous capabilities for maritime surface vehicles. The role spans algorithm development, real-time software engineering, system integration, and field testing—requiring deep expertise in robotics, motion planning, decision-making, and unmanned systems.…See more You will collaborate across perception, planning, simulation, and hardware teams to mature autonomy solutions from prototypes to operational deployment, with ~25% travel to integration events and customer sites.

Senior Software Engineer responsible for developing high-performance autonomy software modules for maritime unmanned systems, from algorithm prototyping through real-world deployment and testing. The role requires 7–10+ years of experience in robotics, control systems, motion planning, or autonomous vehicle development, with proficiency in C++ and Python.…See more Responsibilities include cross-functional collaboration with perception and planning teams, integration of autonomy capabilities onto surface vehicles, analysis of mission logs, and contribution to autonomy roadmaps through R&D and algorithm innovation.

Google seeks a Software Engineer III to develop computer vision and computational photography features for Pixel camera autofocus, exposure, and white balance systems. You will own the end-to-end product lifecycle from research and algorithm development through prototyping, optimization, and commercialization.…See more The role requires proficiency in C++, machine learning infrastructure (model deployment, optimization, data processing), and computer vision or imaging platforms, along with experience in large-scale system design and performance analysis.

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training and optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) applied to radar data in time-domain, frequency-domain, and range–Doppler representations.…See more Optimize models for real-time embedded deployment under latency, memory, and power constraints, and translate research outcomes into scalable, production-ready algorithms. Requires a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong radar and signal processing fundamentals, and proficiency in Python, PyTorch/TensorFlow, and cloud platforms.

Staff Software Engineer responsible for developing and leading the Qualcomm AI Stack software platform, including the QAIRT SDK and Generative AI Inference Extensions (Genie). The role focuses on researching state-of-the-art AI toolchains, performance and memory profiling for Edge-AI on embedded SoCs, and optimizing machine learning model execution on Snapdragon platforms across multiple operating systems.…See more You will lead software toolchain development, conduct system-level benchmarking, validate ML use cases, debug complex issues, and provide technical guidance to junior engineers while collaborating across cross-functional teams.

Principal Systems Architect responsible for defining and maintaining the technical architecture of a complex enterprise automation ecosystem spanning RPA, Machine Learning, and GenAI. Will architect data pipelines integrating diverse enterprise systems (SAP, ERP, QMS, PowerBI, Windchill, Atlassian), provide technical leadership on workflow automation and DevSecOps infrastructure, and ensure end-to-end cybersecurity compliance with DoD standards and CMMC.…See more Role requires 14+ years of progressive IT systems architecture experience, demonstrating systems engineering expertise in complex data integration, AI/ML automation, and secure deployment across engineering, manufacturing, quality, and finance domains.

Senior AI Subject Matter Expert responsible for developing intelligent data processing and NLP pipelines, AI-enabled dashboards, and proofs-of-concept for AI use cases. The role requires 7+ years of professional experience with advanced expertise in LLM APIs, RAG architectures, agent-based development, generative AI coding tools, and secure AI deployment patterns.…See more Responsibilities include prototyping emerging AI developer tooling, mentoring engineering teams on generative AI workflows, and identifying software lifecycle areas that can be accelerated through AI and automation. The candidate must critically evaluate AI-generated code for correctness and security, understand AI-specific security risks across the full SDLC, and scope requirements for engineering solutions that meet business challenges with measurable outcomes.

Google seeks a Software Engineer III to develop computer vision and computational photography features for the Pixel camera, focusing on autofocus, image signal processing, and scene understanding. You will own the end-to-end product lifecycle from research and algorithm development through prototyping, optimization, and commercialization.…See more The role requires 2+ years of C++ software development, 1+ year of ML infrastructure experience, and 1+ year of computer vision or imaging platform experience. You'll work cross-functionally with hardware, research, and chip design teams to deliver mobile-friendly features that define the Pixel camera experience.