51 machine learning engineer jobs at 22 companies in Imperial Beach, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
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.
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.
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.
AbbVieNYSE: ABBV: Develops and sells innovative pharmaceutical and biopharmaceutical medicines.
7+ YOE2+ MgmtBS/MS/PhD in quantitative field,7+ years building ML systems,2+ years technical leadership,strong Python and ML framework experience, MLOps and cloud architecture experience,SQL/PySpark skills,excellent communication.
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.
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
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Bachelor's degree or equivalent in CS, ECE, Biomedical Eng, Stats, or related field; strong ML background; Python; experience prototyping and deploying algorithms.
Python, Machine Learning, Signal Processing, Generative AI
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.
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.
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.
Foresite Labs: Incubating data-driven healthcare and life sciences companies.
PhD(6+), MS(10+), or BS/BA(12+) in life sciences or technology; leadership in 2 of 5 areas: shipped constrained inference, Rust/C++, CUDA, performance-native judgment, production engineering.
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
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
General Atomics Aeronautical Systems: Designs and manufactures unmanned aircraft and radar systems.
3+ YOEBachelor's (or higher) in CS/engineering/math or equivalent experience; 3–5+ years ML engineering experience; experience with Python, Jupyter, Scikit, TensorFlow, PyTorch, C++, Linux; ability to obtain and maintain DOD security clearance; US citizenship required.
10+ YOEBachelor's in EE/CE/CS or equivalent; 10 years verifying RTL with SystemVerilog; experience leading verification teams; UVM and OOP experience; strong verification planning and debug skills.
SystemVerilog, UVM, System Verilog Assertions (SVA)
AI Engineer/ML Engineer - Senior Developers - AI Training - San Diego, USA
San Diego or United States
$80/hrRemoteContract
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related quantitative field; professional experience building, deploying, or fine-tuning ML models; deep learning and LLM expertise; experience spotting bias/hallucinations and auditing model logic.