22 applied machine learning engineer jobs at 22 companies in Fairfield, 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.
Mercor: Connecting expert human intelligence with frontier AI model development.
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
Atoms: Building specialized industrial robots and physical AI systems.
10+ YOE10+ years MLE experience; deep expertise applying transformers to robotics/spatio-temporal data; multimodal, sensor-fusion, and model optimization experience; proficiency in PyTorch or JAX, Python, and C++.
AfterQuery: Curating specialized datasets and environments to train frontier AI models.
3+ YOE3–6 years relevant experience; strong software engineering and applied ML background; experience shipping production systems and working with messy real-world data; strong data intuition and cross-team collaboration skills.
Sr. Machine Learning Engineer, Responsible AI– Applied Research Science
San Francisco or United States
$190k-$332k/yrRemoteFull Time
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
4+ YOE4+ years in ML engineering on production systems; 1+ year cross-team leadership; Masters or PhD in CS or related field; strong fairness/responsible AI focus.
Senior / Staff Machine Learning Engineer, Applied AI
Cambridge or San Francisco
$180k-$336k/yrOnsiteFull Time
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
Strong ML engineering with LLM experience; expertise in training, adapting, evaluating, and deploying models; proficiency in Python and modern ML frameworks; ability to design experiments and debug model behavior.
Python, PyTorch, JAX, TensorFlow, Megatron-LM, TorchTitan, DeepSpeed, Ray
Waymo: Autonomous driving technology for ride-hailing and logistics.
5+ YOEBachelor's/Master's/PhD in CS/ML/robotics, 5+ years ML engineering/applied deep learning experience, proficiency in Python and JAX/Flax/PyTorch, and experience designing evaluation frameworks.
Velo3DNASDAQ: VELO: Manufacturer of advanced metal 3D printers and software.
3+ YOEBachelor's in CS/EE/Applied Math (advanced preferred), 3+ years building ML models, experience with computer vision and time-series ML, strong Python and PyTorch skills, production ML pipelines and deployment experience, ability to communicate technical tradeoffs.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
2+ YOEPhD or master in AI/data science,2+ years technical experience,LLM fine-tuning and RAG/agent experience,API and product deployment,Python and PyTorch proficiency,strong communication;fluent English.
Scale AI: Provides data and infrastructure for training artificial intelligence models.
5+ YOE5+ years as an ML engineer or applied scientist with production ML/LLM systems; experience building evaluation/monitoring or continuous-learning infrastructure; strong experimentation and collaboration skills.
Applied Machine Learning & Data Engineering Senior Consultant II
San Francisco or Los Angeles or New York City or Illinois or Indiana or United States
$130k-$150k/yrRemoteFull Time
AllstateNYSE: ALL: Provides insurance products for vehicles, homes, and businesses.
3+ YOE3+ years experience with Python and SQL, generative AI/LLMs, data transformation and pipeline development, DevOps/CI-CD, Azure familiarity, strong stakeholder communication and ability to work in ambiguous environments.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years building and deploying ML models, strong background in recommender systems, applied ML/AI/LLM experience, proficiency with PyTorch, TensorFlow, Databricks, Spark, and SQL, strong communication skills.
Arena Club: Digital marketplace and vaulting service for sports collectibles
5+ YOEBachelor's in quantitative field required (advanced degree preferred); 5+ years applied ML/ML engineering; 3+ years in recommendations/ranking; expert Python and ML libraries; experience with SQL, AWS, MLflow; strong experimentation skills.
Hike Medical: Produces custom 3D-printed medical orthotics using AI foot scanning.
Experience building production AI systems with LLMs, OCR, and unstructured data; shipping applied AI products; Python; AWS/serverless; analytical and collaborative.
Principal Machine Learning Engineer (Reconstruction / Quantitative Imaging)
San Francisco, California, United States
OnsiteFull Time
Midjourney: Independent research lab developing generative AI and medical imaging technology.
Strong applied ML experience with imaging or signal processing, ability to move between research prototypes and production systems, strong evaluation discipline, and experience applying ML to physics-based/inverse problems.
GapNYSE: GAP: Retailer of apparel and accessories across multiple global brands.
10+ YOE10+ years in machine learning or software engineering; production ML systems; Python; ML frameworks; CI/CD; cloud; Spark; Databricks; Docker; Kubernetes.
Omnifold: AI-powered forecasting and planning platform for supply chains.
Technical sales/consulting or forward-deployed engineering experience, background in data science or machine learning, experience with enterprise sales cycles, strong project management and communication, proficiency in Python and SQL.
Taste Labs: Building the data and infrastructure layer for AI taste.
Experienced with LLMs, post-training and evaluation design (judges/reward models), running ML experiments and infra, collaborating with external labs, and publishing results.
BlackLineNASDAQ: BL: Provides cloud software to automate financial close and accounting.
Designs and implements machine learning and deep learning algorithms; translates algorithms into production code; applies statistical modeling, optimization, and experimental methodologies; works with large-scale computing and data analysis frameworks.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Apply computer vision, image processing, and machine learning to tune still image quality and understand user behavior; passion for photography and shipping product experiences at scale.