80 machine learning jobs at 41 companies in San Diego, CA
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Machine Learning Engineer
San Diego, California, United States
$116k-$209k/yrOnsiteFull Time
General Atomics Aeronautical Systems: Designs and manufactures unmanned aircraft and radar systems.
3+ YOERequires 3+ years machine learning engineering experience (or 5+ with a bachelor's), strong ML/statistics knowledge, programming and communication skills, and ability to lead small teams.
University of California, San Diego: A public research university providing higher education and healthcare.
Bachelor's degree in meteorology, atmospheric sciences, climate science, or related field; machine learning and weather research experience; scientific programming, Unix, statistical analysis, and research publication skills.
The Marlin Alliance: Provides digital transformation and automation services to defense agencies.
10+ YOE10+ years experience designing, developing, and deploying machine learning models for operational systems; strong Python and software engineering skills; cloud and containerization experience; ability to work in naval/DoD environments.
AbbVieNYSE: ABBV: Develops and sells innovative pharmaceutical and biopharmaceutical medicines.
3+ YOEBS/MS/PhD in quantitative field, 3+ years building and deploying ML pipelines, strong Python skills, experience with Pandas/PySpark, scikit-learn/HuggingFace/TensorFlow/Keras/PyTorch, SQL, MLOps and cloud (AWS preferred).
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
6+ YOEExperience in compiler development, computer architecture, machine learning, and software engineering; degree in CS/math/engineering; strong communication and research skills; experience with ML compiler tools and generative AI workflows.
AeroVironmentNASDAQ: AVAV: Designs and manufactures unmanned aircraft and tactical missile systems.
3+ YOEMaster's degree in machine learning, computer science, applied mathematics, or similar field plus 3 years' experience; requires DSP, Python, machine learning, data handling, and communication skills.
ICW Group: Provides workers' compensation and specialty property and casualty insurance.
3+ YOE3–6 years MLE experience or 1–2 years with advanced degree; production ML, cloud (AWS), Snowflake; Python, PyTorch, Linux; containers, CI/CD, microservices; LLMs; in-office 3+ days in San Diego.
AWS, Snowflake, Docker, CI/CD, Microservices, REST APIs, Python, PyTorch, Linux
AbbVieNew York Stock Exchange: ABBV: Researches, develops, and manufactures biopharmaceutical and medical products.
3+ YOE3+ years building, evaluating, scaling, and deploying ML pipelines; BS/MS/PhD in quantitative field; strong Python, ML libraries, SQL, AWS, and MLOps experience.
Element Biosciences: Develops benchtop DNA sequencing platforms for research and diagnostics.
5+ YOESenior machine learning engineer with 5-7 years experience in multiomic/single-cell data or image processing, Python/PyTorch, AWS; strong statistics and collaboration skills.
ASMLNASDAQ: ASML: Manufactures lithography systems used to print patterns on wafers.
3+ YOEPhD (3+ yrs) or Master's (6+ yrs) in math/physics/engineering; extensive experience in physics-informed ML, model integration, data pipelines, optimization and deep learning; strong Python and software skills.
Python, PyTorch, JAX, C/C++, MATLAB, MLflow, Apache Spark, Microsoft Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Microsoft Azure Databricks
Iambic Therapeutics: Develops novel medicines using an AI-driven discovery platform.
3+ YOEMS in chemistry/bio/chemical engineering or PhD/equivalent; 3+ years relevant experience; strong Python and deep-learning fine-tuning skills; clinical dataset experience; data science and engineering best practices; familiarity with Docker, CUDA, Kubernetes, and Weights & Biases.
Seasats: Builds autonomous surface vessels for persistent maritime intelligence.
7+ YOE7+ years ML experience (5+ on perception), strong Python/PyTorch, edge model optimization (quantization/pruning, TensorRT/ONNX Runtime), experience with sensor data and MLOps; must be U.S. person.
Cotality: Provider of property intelligence, data, and analytics solutions.
3+ YOEAdvanced degree or equivalent experience; 3+ years industry experience; strong Python and ML framework skills; production ML, cloud (GCP/AWS/Azure), distributed computing, and statistics; strong communication.
ServiceNowNYSE: NOW: Provides a cloud platform for automating enterprise digital workflows.
15+ YOE15+ years software engineering,5+ years at principal/staff/director scope;deep expertise in agentic AI,LLM systems,multi-agent orchestration,RAG,LLMOps/MLOps,AI observability,governance;enterprise cloud architecture and leadership.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Paperless Parts: Cloud-based quoting software for custom part manufacturers.
8+ YOE8+ years in R&D/ML roles, technical degree in CS or applied math required, experience with ML lifecycle and MLOps (e.g., AWS SageMaker), strong communication and mentorship skills; US citizenship or green card required.
Exact SciencesNASDAQ: EXAS: Provides molecular diagnostic tests for early cancer detection.
8+ YOEPhD in relevant field or Master’s with 4+ years, 8+ years bioinformatics, 6+ years in biotech/pharma, strong ML/statistics, NGS/genomics, product/assay experience, collaborative skills.
Python, R, SQL, NGS, Cloud computing, Machine learning, Bioinformatics, Linux