42 machin learning engineer jobs at 25 companies in San Diego, CA
2mo
Save
Mark Applied
Hide
2mo
Machine Learning Engineer III
San Diego, California, United States
$140k-$195k/yrHybridFull Time
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).
General Atomics: Designs and manufactures unmanned aircraft and nuclear technology systems.
2+ YOEBachelor's or master's in CS/engineering/math (or equivalent experience), 2+ years ML experience, strong ML fundamentals, scalable software architecture, edge model optimization, proficiency in Java, JavaScript, C/C++, Python, TensorFlow, PyTorch, ability to obtain DoD Secret clearance.
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.
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.
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.
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.
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.
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.
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.
Carlsbad or San Jose or San Francisco or New York City
$141k-$222k/yrOnsiteFull Time
ViasatNASDAQ: VSAT: Provider of global satellite-based connectivity and secure communication solutions.
7+ YOERequires 7+ years in ML or optimization, optimization techniques, production cloud ML systems, ML frameworks, geospatial visualization, containerized development, SQL, RESTful APIs, and up to 10% travel.
Machine Learning Performance Engineer - Offboard Training & Inference
Sunnyvale or Washington, D.C. or San Diego or Fort Walton Beach or Ann Arbor or London or Stuttgart or Munich or Stockholm or Bangalore or Seoul or Tokyo
$215k-$285k/yrOnsiteFull Time
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
ML performance engineering experience with distributed training, batch inference, GPU or accelerator optimization, Python, and C++ or another systems language; strong debugging and analytical skills required.
Sony Interactive EntertainmentNYSE: SONY: Provides PlayStation gaming hardware, software, and digital network services.
5+ YOEMaster's in CS or equivalent plus 5+ years designing/deploying low-latency, high-throughput ML inference systems; expertise in Scala/Java/Go, Bazel monorepos, Prow, Pulumi, feature stores, observability, and compliance (GDPR, SOC2).
Scala, Guice, Bazel, Prow, GitHub Prow, Golang, Pulumi, Java, Go
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.
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
DexcomNASDAQ: DXCM: Develops continuous glucose monitoring systems for diabetes management.
2+ YOEAdvanced algorithm development experience in signal processing, statistical estimation, and machine learning; proficiency with Python, MATLAB, and C/C++; PhD/MS/Bachelor’s in a quantitative field with relevant industry experience.
Sony Interactive EntertainmentTokyo Stock Exchange: 6758: Develops and publishes PlayStation gaming hardware, software, and services.
5+ YOEMaster’s in computer science or related field or equivalent, plus 5 years designing distributed ML inference systems. Requires Scala, Java, Go, Bazel, Prow, Pulumi, and ML platform expertise.