15 applied ml engineer jobs at 14 companies in Reseda, CA
6d
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Senior Applied AI/ML Engineer
Santa Monica or Brooklyn or United States
$180k-$230k/yr HybridFull Time
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.
Python, LLM
1mo
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Applied AI Engineer
Camarillo, California, United States
HybridFull Time
3+ YOEBachelor's or Master's in CS/ML/Data Science required; 3-5 years applied ML/AI engineering; strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow), Azure ML, REST API, .NET/C#, React, Azure DevOps or Jira; LLM/RAG familiarity preferred.
Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Microsoft Azure ML, Microsoft Azure AI Services, Microsoft Azure DevOps, .NET, C#, React, Jira, RESTful API, SureTrend, LLMs
1mo
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Staff Engineer, Applied AI
Beverly Hills, California, United States
$170k-$270k/yr OnsiteFull Time
7+ YOE7+ years building and shipping production software with deep full-stack and applied AI experience, proven production AI features, ownership of product surfaces, and familiarity with the listed web, cloud, and ML stack.
Next.js, React, TypeScript, Tailwind, Node.js, Express, REST API, serverless, k8s, vllm, MongoDB, PostgreSQL, vector databases, AWS Bedrock, AWS Lambda, AWS S3, AWS VPC, Vercel, React Native, RAG
2mo
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Sr. ML Optimization Engineer, iCloud
Culver City, California, United States
OnsiteFull Time
Expertise in ML-driven forecasting, capacity planning, large-scale resource optimization, and cost-model development for cloud services; strong collaboration and applied analytics skills.
1mo
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Applied AI Engineer/Architect
Boston or Chicago or Dallas or Los Angeles or Minneapolis or New York City or San Francisco or Seattle or Washington, D.C.
$225k-$304k/yr OnsiteFull Time
7+ YOE7+ years in software/data/ML/AI or architecture with hands-on AI engineering; strong Python plus TypeScript/Java/C# experience; experience with LLMs, RAG, agents, MLOps, and hyperscaler AI platforms; ability to work in US without sponsorship.
LLMs, agents, RAG, ChatGPT, Python, TypeScript, Java, C#, Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Microsoft Fabric, MLOps, APIs
1mo
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Principal, Applied AI Enablement, Legal
West Hollywood, California, United States
$150k-$220k/yr OnsiteFull Time
Experienced AI/product builder to prototype, ship, and iterate AI tools for legal work; strong applied ML/AI judgment, prototyping, evaluation, and ability to partner with legal, engineering, and ops teams.
2mo
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Senior Manager, Applied Science, Prime Video - Content Generation Team
Culver City or Sunnyvale
$219k-$340k/yr OnsiteFull Time
10+ YOE5+ Mgmt10+ years applied research; 5+ years managing scientists/ML engineers; 5+ years building ML models for business; PhD or Master’s +6 years; ML/NLP/IR/Analytics; Java/C++/Python.
Java, C++, Python, Machine Learning, NLP, Information Retrieval
3w
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Staff Machine Learning Engineer - League of Legends
Los Angeles, California, United States
$229k-$320k/yr OnsiteFull Time
6+ YOEBachelor's or equivalent experience; 6+ years delivering ML systems (3+ in applied modeling); experience with complex data, production ML, mentoring, strong communication.
2w
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AI Engineer, Physical Systems and Sensing
El Segundo, California, United States
$145k-$250k/yr OnsiteFull Time
5+ YOE5+ years applying AI/ML to physical or IoT systems; strong Python; experience with time-series/sensor data, anomaly detection, hardware-in-the-loop, LLM workflows, CI/CD and Docker; cross-functional hardware collaboration.
Python, LLMs, Jenkins, Azure, Bitbucket, Docker, CUDA, FPGA, CI/CD
3w
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Lead Machine Learning Engineer
San Francisco or Seattle or Santa Monica
$188k-$252k/yr HybridFull Time
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.
PyTorch, TensorFlow, Databricks, Spark, SQL
6d
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Machine Learning Engineer - Advanced AI and Cognitive Systems
Calabasas, California, United States
$141k-$176k/yr OnsiteFull Time
3+ YOE3–5 years applied ML/AI experience; expertise in multimodal AI, cognitive modeling, HMI, scalable software, and government R&D a plus. U.S. citizenship and ability to obtain security clearance required.
Docker, Kubernetes, PyTorch, TensorFlow, JAX, Python
4d
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Senior Data Scientist - Detection & Modeling
Santa Monica, California, United States
$190k-$290k/yr OnsiteFull Time
Experience in feature engineering and applied ML on transactional/time-series data, anomaly detection (unsupervised), strong statistics, production ML, and domain familiarity in fraud/risk or market surveillance.
isolation forests, density-based methods, autoencoders, FIX
3w
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Data Scientist, Principal
Oakland or Washington or Ohio or District of Columbia or California or Long Beach or Arizona or Colorado or Connecticut or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or San Diego or Woodland Hills or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$182k-$273k/yr HybridFull Time
8+ YOEAdvanced experience in applied AI/ML and software development, strong Python engineering, hands-on with deep learning and LLM frameworks, experience building production AI applications and leading ML design.
Python, PyTorch, TensorFlow, LangChain, LangGraph, SQL, Spark, Azure, Google Cloud, AWS
1mo
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AI - Architect
Los Angeles or Nashville or New York City or Memphis or Chicago or Miami or London or Munich or Geneva or Stockholm or Shanghai or Beijing
OnsiteFull Time
10+ YOE10+ years building AI/ML/NLP solutions, 5+ years building applied AI/LLM systems in production; Bachelor's required (Master's preferred); strong Python and software engineering skills; experience with data, retrieval, and production architectures.
Python
1mo
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Data Scientist: Mission Engineering
El Segundo or Los Angeles
$140k-$220k/yr OnsiteFull Time
7+ YOEBachelor's degree (or equivalent) in a quantitative field, 7+ years applying advanced statistical and data-science methods, Python expertise with scientific/ML libraries, experimental design, uncertainty quantification, scalable pipelines, and eligibility for Top Secret/SCI clearance.
Python, Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch, MATLAB, R, Linux, AFSIM, ESAMS, Brawler, Ansys STK, HPC
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