671 machine learning engineer jobs at 122 companies in Morgan Hill, 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.
IntuitiveNASDAQ: ISRG: Robotic-assisted systems for minimally invasive surgery.
1+ YOEMaster's +4 years or PhD +1 year (or equivalent experience). Expertise in medical image analytics/computer vision/machine learning. Strong Python and/or C++ skills, communication, and technical ownership.
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.
MaxInsights: Provides robot data collection for physical AI development.
3+ YOE3+ years building and shipping ML systems, proficiency in Python and major deep learning frameworks (PyTorch or TensorFlow), experience with training/evaluation/deployment and production ML pipelines.
Clera: AI talent agent matching professionals with high-growth startup roles
3+ YOE3+ years ML engineering experience, strong ML fundamentals, proficiency in Python and deep learning frameworks, experience with distributed training and cloud ML infrastructure, and building end-to-end ML pipelines.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
Expertise in machine learning and modeling, strong distributed systems fundamentals, ability to architect ML infrastructure for production, experience with logs/traces/metrics, and strong communication skills.
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.
ExponentNasdaq: EXPO: Scientific and engineering consulting firm for complex technical challenges.
Ph.D. in mechanical/aerospace/systems engineering, specialized knowledge in dynamic systems/robotics/physics engines and machine learning, proficiency in Python, strong communication and consulting skills, must be authorized to work in the U.S.
Kodiak RoboticsNASDAQ: KDK: Develops autonomous driving technology for commercial trucking and defense.
MS or PhD in Computer Science, Robotics, Machine Learning, or related field; production ML deployment experience; Python/C++ with PyTorch/TensorFlow; distributed training; strong ML fundamentals and software engineering skills; cross-team collaboration.
Leonberg or London or Sunnyvale or Yokohama or Herzliya or Vancouver
HybridFull Time
Wayve: Develops AI software for autonomous vehicle navigation.
Experience building and shipping computer-vision focused deep learning systems; familiarity with 3D perception (LiDAR, multi-view geometry, tracking, 3D reconstruction); experience across ML data, training, evaluation, and scalable data pipelines.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
3+ YOEM.S./Ph.D. or equivalent experience; 3+ years building production ML with strong RL experience; depth in deep learning and generative models; distributed training and large-scale data processing; strong communication.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
5+ YOE5+ years ML engineering experience, shipping deep learning models in production; proficiency in Python and PyTorch; experience with computer vision, foundation models, benchmarking, and cross-functional technical leadership.
Applied MaterialsNASDAQ: AMAT: Produces equipment and services for chip and display manufacturing.
MS or PhD in CS/EE/math/stats (or equivalent experience), strong ML/deep learning foundation, experience with generative methods and LLMs, model evaluation, and translating research into production.
UnitX: Builds AI-powered robotics for automated visual inspection in manufacturing.
3+ YOEBachelor's in CS/Math/Statistics (or equivalent), 3+ years related experience, 3+ years hands-on deep learning, ML pipelines, sensor fusion, computer vision, real-time inference optimization, and strong communication skills.
RubrikNYSE: RBRK: Secures enterprise data across cloud and on-premises environments.
2+ YOEBachelor's in a technical field required, 2+ years production ML experience, proficiency in Python and PyTorch, experience training/fine-tuning/distilling language models, serving low-latency models, and building closed-loop data and evaluation pipelines.
Python, PyTorch, vLLM, SGLang, TensorRT-LLM, LoRA, DPO, RLAIF, RLHF, GRPO, FP8, INT8, KV-cache, MCP, LiteLLM, Google ADK, Azure AI Foundry, Vertex AI
Eightfold: An AI-native enterprise talent platform that builds scalable machine learning solutions and agentic AI for talent workflows.
6+ YOEDeep expertise in ML/DL/NLP and LLMs; technical leadership and team mentoring; proficiency with Python, TensorFlow, PyTorch, big data (Hadoop, Spark); experience deploying ML at scale. MS/PhD and 6+ years preferred.
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.