48 machine learning scientist jobs at 11 companies in Salinas, CA
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Senior Machine Learning Scientist, Advertising
Austin or San Jose
$149k-$361k/yrHybridFull Time
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
8+ YOEPhD in a quantitative field; 8+ years of applied research using statistical and deep learning; published work in advertising; strong communication and collaboration.
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
8+ YOEBachelor's degree or equivalent, 8+ years relevant experience building and operationalizing ML solutions for personalization/recommendation, strong foundation in ML methods, experimentation, productionization, and cross-functional collaboration.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Advanced degree in a quantitative field, proficiency in Python/Scala/Java, deep ML and optimization knowledge, experience deploying algorithms on large-scale production data, and experience building bidding algorithms.
Machine Learning/Computer Vision Research Scientist
Santa Clara, California, United States
$164k-$194k/yrOnsiteFull Time
HitachiTokyo Stock Exchange: 6501: Global provider of digital systems and social infrastructure solutions.
2+ YOEPhD (or equivalent) in CS/Engineering + 2 years ML experience; research in ML/DL/CV, generative AI; programming in Python/R/C/C++/Java; experience with PyTorch, TensorFlow, scikit-learn; publication or patent record.
TikTok: Global short-form video hosting and social media platform.
2+ YOEBachelor's degree in a related field and 2 years ML experience; strong NLP, ML/DL, data analysis, SQL and programming (Python/R/Java/C++); experience with scientific libraries and LLMs.
Python, R, Java, C++, SQL, NumPy, SciPy, Pandas, Scikit-learn, dplyr, ggplot2, Matplotlib, Pyplot, PyTorch, Caffe2, TensorFlow, Keras, Theano, Large Language Model
Senior Research Scientist - Machine Learning System
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Bachelor's degree in CS/EE or related, proficiency in C/C++, Python, algorithms and data structures, understanding of deep learning and PyTorch, GPU/CUDA optimization experience preferred.
Senior Staff / Principal Machine Learning Scientist, AI Inference & Optimization
Santa Clara, California, United States
$183k-$261k/yrOnsiteFull Time
NetskopeNASDAQ: NTSK: Cloud-native cybersecurity and data protection platform for enterprises.
10+ YOE10+ years industry experience with 4+ years hands-on ML; experience in model fine-tuning, quantization, inference runtimes, transformer internals; MS required, PhD preferred.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Represent the user perspective, review and analyze data, and evaluate AI/ML models; collaborate with data scientists, researchers, and engineers to drive product improvements.
Senior research Scientist - Machine Learning Systems & Efficiency Engineer
Seattle or San Francisco or San Jose
$143k-$271k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
Master's or PhD in CS/EE or related; deep expertise in ML systems, distributed inference, GPU performance, and production deployment; proficiency in Python and C++; experience with Triton/CUDA and performance profiling.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOEPhD or Master's + experience in CS/CE/ML, 3+ years building models for business applications, publications/patents, programming in Java/C++/Python, and experience in algorithms, optimization, parallel/distributed or high-performance computing.
Principal Data Scientist - AI Foundations, Specialist Models
McLean or New York City or San Jose
$162k-$201k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
3+ YOEAdvanced quantitative degree plus 3–5+ years performing data analytics; hands-on experience with Python/SQL, machine learning, and cloud platforms; strong statistical and big-data skills.