92 machine engineer jobs at 58 companies in Vista, 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.
Panasonic Avionics CorporationTokyo Stock Exchange: 6752: Provides in-flight entertainment and connectivity systems for airlines.
2+ YOEBachelor's in CS/Data Science/Software Engineering required, 2+ years software engineering experience, proficiency in Python or Java, experience with TensorFlow or PyTorch, machine learning and data-pipeline experience.
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.
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.
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).
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.
Anduril Industries: Defense technology building autonomous military hardware and software.
4+ YOEBachelors in related field; 4+ years developing/maintaining vision systems in manufacturing; experience with Cognex, Keyence, iRVision, Halcon, Python, C++, OpenCV; optics, lighting, PLC/robot integration, defect detection and SPC.
Samsung ElectronicsKorea Exchange: 005930: Develops and manufactures consumer electronics, semiconductors, and mobile devices.
3+ YOE3+ years with bachelor's (or 2+ with master's, or Ph.D.); strong C, C++, Python; API-level programming with Vulkan, OpenGL, OpenCL; experience with PyTorch/TensorFlow, GPU architecture, low-level profiling, and neural rendering.
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.
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
Field AI: Develops autonomous software brains for robots in unstructured environments.
4+ YOEBachelor's or Master's in CS/AI/Statistics or related, 4+ years industry ML experience, proficiency in Python and PyTorch/TensorFlow/JAX, C++ for deployment, deep learning and navigation stack knowledge, production deployment experience.
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.
Esri: Global leader in geographic information system (GIS) software.
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.
Kinetic Automation: Automates digital vehicle maintenance and ADAS calibration using robotics.
Hands-on experience training and evaluating deep models for segmentation and detection (PyTorch); understanding vision transformers and 2D/3D data; strong Python skills.