180 software engineer machine learning jobs at 28 companies in Salinas, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Applied machine learning and strong software engineering skills; experience with ML/LLM and distributed systems; focus on building privacy-preserving, generative AI features for consumer products.
Analog DevicesNASDAQ: ADI: Designs and manufactures semiconductors for signal processing and power management.
5+ YOE5+ years industry experience in software development, robotics or machine learning; Master’s or PhD in a related field; ability to work independently and across cross-functional teams.
IntelNasdaq: INTC: Designs and manufactures microprocessors and semiconductor components.
5+ YOEBS in CS/EE/Math or related STEM, 5+ years software development experience, 2+ years ML engineering or research, proficient in Python and LLM architectures, experience with model training and multi-GPU debugging.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
5+ YOE5+ years experience and a Bachelor’s degree (or equivalent); expertise with TensorFlow/PyTorch/scikit-learn; cloud experience (AWS, Azure, GCP); building and deploying scalable ML pipelines.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
6+ YOE6+ years applying ML to real-world problems, strong C++ and Python, experience in LiDAR/camera perception, deep learning frameworks (PyTorch, TensorFlow), and shipping models to production.
Eightfold: Global AI-native talent platform powering enterprise hiring and career advancement
1+ YOEML, GenAI, LLMs; Python; ML frameworks; AWS; distributed systems; 1+ year to 3+ years experience; Master's or PhD preferred; hybrid in Santa Clara.
NetskopeNASDAQ: NTSK: Cloud-native cybersecurity and data protection platform for enterprises.
2+ YOE2+ years developing AI/ML solutions; experience optimizing LLMs in production with tools like vLLM, SGLang, and KV Cache; strong communication; BS/MS in CS, EE or related.
Applied MaterialsNASDAQ: AMAT: Manufacturers of equipment for semiconductor and display production.
Advanced ML experience applying generative methods and LLMs, proficiency in Python and ML frameworks, experience shipping ML algorithms, strong communication and collaboration skills.
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.
Austin or San Jose or United States or Canada or Mexico
HybridFull Time
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
5+ YOE5+ years applied ML experience; strong software development skills in Spark, Python, or Java; experience with distributed ML frameworks, low-latency model evaluation, experimentation, statistics, and large-scale data systems.
Astera LabsNASDAQ: ALAB: Designs connectivity solutions for cloud and AI infrastructure.
1+ YOE1–5 years software/ML infrastructure experience, strong Python, experience with AWS or GCP and production service ownership, familiarity with inference deployments, observability, telemetry, and incident response.
New York City or Seattle or Los Angeles or Los Gatos
$466k-$750k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
7+ YOE7+ years software engineering experience with 3+ years on ML infrastructure or model serving; proficiency in Java, Python, or Scala; experience building high‑QPS, low‑latency model serving, feature serving, and model monitoring.
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.
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.
Seattle or United States or Redwood City or Santa Clara or Austin
$135k-$306k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
10+ YOE10+ years experience building and operating large-scale AI model training, fine-tuning, and serving systems; expertise in model architecture analysis, benchmarking, troubleshooting, and mentoring teams.
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
ByteDance: Developing AI-driven content platforms and mobile applications.
3+ YOE3+ years developing and deploying large-scale systems; contributions to open-source ML frameworks; strong background in HPC, hardware-software co-design, or ML hardware acceleration.