295 machine engineer jobs at 34 companies in Pacific Grove, CA
1mo
Save
Mark Applied
Hide
1mo
Senior Machine Learning Engineer
San Jose, California, United States
HybridFull Time
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
5+ YOE5+ years applied machine learning experience; strong statistical, optimization, and experimental methodology knowledge; proficient in Spark, Python or Java; experience with real-time, low-latency systems and distributed ML frameworks.
OKX: Global cryptocurrency exchange and Web3 digital wallet developer.
Significant ML engineering experience producing production models and LLM agents; strong Python and ML framework experience; model explainability and reliability; experience with risk or high-stakes domains preferred.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Expertise in machine learning applied to SoC design and validation; ability to collaborate with cross-functional teams to improve productivity and optimizations across SoC design functions.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOEPhD or MS in Computer Science or related field; 5+ years ML experience; strong programming (Python/Java); cloud experience (Azure/AWS); ML/LLM Ops; production deployments; strong communication.
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yrHybridFull Time
Absentia Labs: AI-native toxicology platform accelerating drug safety and discovery.
5+ YOE5+ years ML industry experience, proven production-scale model training, expertise with LLMs/diffusion/GNNs, strong PyTorch skills, distributed training and data-pipeline experience, and solid software engineering practices.
Machine Learning Engineer - AI Compiler Optimization
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Proficient with AI compiler frameworks and GPU/NPU compilation optimization; experience with model import/conversion for PyTorch/TensorFlow and performance tuning for recommendation models.
Machine Learning Engineer, TikTok - Business Governance
San Jose, California, United States
$156k-$388k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Strong ML/DL knowledge with Transformer/LLM familiarity, hands-on Python and PyTorch, distributed training and large-scale data processing, experience productionizing models for content safety and cross-team collaboration.
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.
Lumilens: Designs photonic interconnects for AI supercomputing infrastructure.
5+ YOE5+ years experience with active alignment machine design/assembly/testing; B.S./M.S. in Mechanical, Electrical, or Optical Engineering; familiarity with FAU, PIC, coupling efficiency, UPH, UV epoxy, equipment qualification; Solidworks and schematic/optical simulation understanding.
BetterHelp: Provides online therapy and professional mental health counseling services.
3+ YOE3+ years building ML systems; strong Python; experience with NLP, LLMs, PyTorch/TensorFlow, SQL; model evaluation, fine-tuning, inference optimization, and production deployment experience.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Experience building end-to-end ML deployment and low-latency inference infra for real-time ad systems; handling large-scale data with Spark; forecasting ad metrics; building scalable simulations; cross-functional collaboration.
San Jose or San Francisco or McLean or Cambridge or New York
$215k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's degree,6+ years building distributed data-intensive solutions,4+ years programming with Python/Scala/Java,2+ years building/optimizing ML systems; experience with ML frameworks and cloud deployments preferred.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
5+ YOE5+ years experience with ML frameworks; cloud platforms (AWS/Azure/GCP); Bachelor’s degree or equivalent in a technical field; strong ML model development and deployment skills.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
3+ YOE3+ years relevant experience and a Bachelor's degree (or equivalent). Experience with TensorFlow, PyTorch, scikit-learn, Python, cloud platforms (AWS/Azure/GCP), ML model deployment, and large-scale data processing; PhD preferred for research in LLMs/agents.
TensorFlow, PyTorch, scikit-learn, Python, LangChain, Google ADK, AWS, Azure, GCP
TikTok USDS Joint Venture: Operates and secures TikTok services for U.S. users.
Design and deploy forecasting, machine learning, deep learning and graph algorithms; improve modeling infrastructure, and collaborate to translate algorithms into scalable risk-control systems.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
7+ YOE7+ years software engineering; 3+ years ML infrastructure, model serving, or ML platform experience in ads/real-time decisioning; real-time model serving with sub-20ms latency; proficiency in Java, Python, or Scala; experience with ML serving frameworks and real-time feature pipelines; strong model monitoring and production readiness.
Java, Python, Scala, ML serving frameworks, feature stores, model registries
ZoomNasdaq: ZM: Provides a cloud-based platform for video, voice, and collaboration.
5+ YOE5+ years in ML, search, or distributed systems; Master’s in CS/AI/ML/distributed systems; experience building production-scale retrieval, RAG, and search systems; proficiency in Python/Go/Java/C#/C++.
Deloitte: Provides professional audit, consulting, advisory, and tax services.
6+ YOE6+ years experience in machine learning/AI with hands-on generative AI engineering, strong LLM knowledge, software development fundamentals, and ability to translate business needs into production solutions.