49 applied machine learning engineer jobs at 7 companies in Pacific Grove, CA
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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.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Strong background in auction theory, applied machine learning, and large-scale systems, with production experience building and optimizing auction-based ad delivery systems.
Machine Learning Platform Engineer, Applied Machine Learning Team
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
3+ YOEBachelor's in CS or related, 3+ years software engineering, proficiency in Python and Golang, experience with distributed computing and large-scale data processing (Hadoop, Spark), strong communication and problem-solving.
TikTok: Global short-form video hosting and social media platform.
Bachelor's degree in CS or related field, strong programming and applied ML experience, familiarity with recommendation algorithms and deep learning frameworks, publication or competition experience preferred.
Cadence Design SystemsNASDAQ: CDNS: Develops computational software and hardware for electronic system design.
7+ YOE3+ MgmtRequires an MS or PhD in a technical field, 7+ years of software engineering and ML experience, 3+ years of engineering management or technical leadership, and expertise in distributed systems, LLMs, and AI evaluation.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
PhD or equivalent research experience required. Experience with programming languages, compilers, program analyzers, and program synthesis engines is beneficial; machine learning and AI accelerator experience is preferred.
Rivet Industries: Building integrated task systems for frontline industrial and defense operators.
5+ YOEBS + 5+ years (or MS + 2+ years) in ML research or applied ML engineering; proficiency in Python and C++; experience with PyTorch/TensorFlow, ML pipelines, model deployment, and model optimization for edge/embedded systems.