773 applied ml engineer jobs at 401 companies in United States
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Applied ML Engineer
San Francisco, California, United States
$170k-$280k/yrOnsiteFull Time
Macroscope: Software providing AI-powered code review and engineering status tools for development teams.
3+ YOE3+ years applied ML experience; experience building, training, fine-tuning, or evaluating ML models; dataset creation and evaluation; experiment design; familiarity with LLMs and reinforcement learning techniques.
Deepgram: Private voice AI platform providing speech-to-text, text-to-speech, and voice-agent APIs to developers and enterprises.
Production ML engineering experience taking models from research to production; strong Python skills; experience with PyTorch, distributed/GPU compute, ML pipelines, evaluation and inference optimization.
Adaption: AI building adaptive intelligence that continually learns for industries, languages, and specialized workflows.
4+ YOE4+ years ML or applied research experience, 2+ years customer-facing technical experience, strong software engineering skills, familiarity with PyTorch/JAX/TensorFlow, and excellent communication.
Databricks: Data and AI software providing a unified platform.
4+ YOEMaster's in ML/data science or related field, strong production ML experience, cloud/distributed systems familiarity, proficiency in Python/Scala/Java; PhD preferred; 4+ years ML engineering experience preferred.
Python, Scala, Java, Apache Spark, Delta Lake, MLflow
Paradigm: Builders FirstSource-owned SaaS provider of quoting, ERP, and selling software for building-industry businesses.
5+ YOEBachelor's or Master's in CS/ML,5+ years designing and deploying applied ML at scale,experience in CV and NLP,proficiency with Python and ML frameworks,MLops and cloud deployment experience.
Confido: N AI-enabled financial operations platform for CPG brands and their finance, sales, and operations teams.
3+ YOERequires 3+ years of applied AI/ML production experience, STEM master's degree, evaluation and monitoring expertise, product sense, and fluency in forecasting, LLM systems, or messy-data engineering.
San Francisco or California or North America or Europe
RemoteFull Time
Intangible: AI 3D studio building spatial-intelligence tools for creative teams in film, advertising, events, games, and interactive media.
Exceptional software development ability; ML, NLP, and LLM expertise; Python and ML library proficiency; vector and graph database experience; and ability to ship AI features end-to-end.
NineTwoThree AI Studio: NineTwoThree is a private AI product studio delivering custom software and automation for enterprise companies and funded startups.
3+ YOE3+ years building ML/NLP systems, production experience with LLMs, strong Python and SQL skills, cloud deployment experience (preferably AWS), fluent English, Bachelor's/Master's or equivalent experience.
Boundless Networks: Private AI infrastructure providing managed inference on open-weight models for AI-native startups.
3+ YOERequires 3+ years shipping production ML/AI systems, LLM inference serving, RL or post-training experience, Python, PyTorch, GPU execution knowledge, and a public GitHub profile with at least one year of activity.
JPMorgan ChaseNYSE: JPM: Global financial services and investment banking firm.
7+ YOE2+ Mgmt7+ years in applied ML/AI with 2+ years leading teams; expert in Python, PyTorch, TensorFlow, OCR, and ML Ops; strong AWS SageMaker and Bedrock; experience with Java/Groovy integration and CV/NLP
Radix Health: Healthcare technology helping providers achieve fair reimbursement through integrated IDR software, data, and AI.
5+ YOE5+ years building production AI/ML systems, experience with LLMs and deployment, strong Python and backend engineering skills, experiment design, monitoring, and US work authorization without sponsorship.
TetraScience: Private scientific data and AI platform that helps biopharmaceutical companies turn laboratory data into AI-ready workflows.
10+ YOEAdvanced degree in Biological, Data, or Computer Science; 10+ years AI/ML development experience (or 5+ in commercial life sciences); portfolio of end-to-end AI/ML products; proven deployment experience; strong communication.
Tetra OS, Databricks, Snowflake, NVIDIA, Google, Microsoft
Sr. Applied ML Engineer, Apple Services Localization Engineering
Seattle, Washington, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Expertise in machine learning and machine translation, building secure end-to-end solutions, developing custom server-side software and APIs, and applying privacy-preserving engineering practices.
Docker: Privately held container application platform helping developers build, share, and run applications.
8+ YOE8+ years professional software engineering experience, 5+ years applied ML experience, bachelor's in CS/Engineering or equivalent, experience shipping ML systems, LLM/agent experience, on-call participation possible.
6+ YOE6+ years engineering experience with 3+ years in ML platform/ML Ops or applied ML; strong LLM and Python skills; Ruby on Rails familiarity; cloud-native (AWS), containers, IaC expertise; on-call experience and strong communication.
Claude Code, Python, Ruby on Rails, AWS, Containers, Infrastructure as Code (IaC), LLM
Ursa Space Systems: U.S. satellite intelligence delivering geospatial insights and analytics to government agencies and commercial enterprises.
4+ YOEB.S./M.S. in CS/Data Science,4+ years building and deploying ML systems,strong Python and production engineering,experience with computer vision and LLM-driven applications,AWS experience,good communication.
Sikich: U.S.-based professional services firm providing accounting, advisory, technology, consulting, and compliance services to public and private organizations.
6+ YOEMaster’s degree or equivalent in a related field and 6+ years of software development experience, with expertise in AI/ML, Python, LLMs, RAG, cloud platforms, vector databases, and Palantir Foundry.
NobleAI: Private science-based AI software helping energy, chemistry, and manufacturing R&D teams accelerate product development.
Ph.D. in a STEM field required; ML coursework or degree; hands-on experience applying ML to scientific/engineering problems; strong Python and ML framework experience; ability to deploy models to production and communicate complex technical results.
Python, PyTorch, TensorFlow, Keras, sklearn, Microsoft Azure, AWS, GCP
Luminary: Physics AI platform helping engineering teams build, verify, and ship physical products.
5+ YOE5+ years applied ML experience with scientific computing or engineering simulation; strong Python and PyTorch skills; experience training and deploying engineering models; customer-facing and able to travel occasionally.