81 machine learning engineer jobs at 34 companies in Quartz Hill, CA
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Machine Learning Engineer
Los Angeles, California, United States
$150k-$180k/yr OnsiteFull Time
4+ YOEBachelor's degree with 4+ years as an ML engineer; 2+ years of Python and PyTorch or TensorFlow; U.S. citizen able to obtain security clearance; strong math, ML, signal processing, and communication skills.
Python, PyTorch, TensorFlow, Software Defined Radio (SDR), Linux, Docker, Kubernetes, Jira, Microsoft Azure, Microsoft Azure DevOps, AWS
3w
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Machine Learning Engineer - Multimodal
Los Angeles or Torrance
$160k-$250k/yr OnsiteFull Time
5+ YOE5+ years deep learning experience with 2+ years on multimodal image+text models, strong Python and PyTorch, production deployment experience, MS/PhD preferred in CS/EE or related.
Python, PyTorch, CAD/CAM, Copilot
1w
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Senior Machine Learning Engineer
San Francisco or Los Angeles or New York City
$70-$75/hr HybridContract
8+ YOE8+ years ML engineering experience in healthcare with HIPAA-compliant systems, end-to-end ML lifecycle ownership, MLOps, cloud and container experience.
Python, SQL, Databricks, Apache Spark, MLflow, Feature Store, Model Registry, Azure, AWS, GCP, Docker, Kubernetes, REST APIs, Git, CI/CD
3w
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Sr Machine Learning Engineer
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yr HybridFull Time
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.
Java, scikit-learn, Spark MLLib, PyTorch, AWS Bedrock, Azure Cognitive Services, Vertex AI, LangGraph, Crew AI, strands sdk, vector databases, SpringBoot, DynamoDB, Redis, ValKey, MemCache, Apache Kafka, Kinesis, AWS, Terraform, Docker, Kubernetes
3w
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Machine Learning Engineer II
Diamond Bar, California, United States
$100k-$146k/yr OnsiteFull Time
5+ YOEBachelor's in a quantitative field required (Master/PhD preferred); strong Python and ML framework experience (PyTorch/TensorFlow); production MLOps, cloud, and industrial data experience; preferred 5+ years in ML/industrial AI.
Azure Machine Learning Studio, Azure Machine Learning, XGBoost, Random Forests, LSTMs, Autoencoders, Isolation Forests, One-Class SVMs, Dynamic Time Warping, PCA, MLflow, Kubeflow, Docker, Kubernetes, PySpark, Databricks, Python, C++, C#, JavaScript, R, PyTorch, TensorFlow, Scikit-Learn, NumPy, Pandas, SciPy, SQL, NoSQL, InfluxDB, TimescaleDB, Google Cloud Platform, AWS, GCP, LangChain, LlamaIndex, Microsoft Semantic Kernel, AutoGen, CrewAI, Azure AI Foundry, OpenAI API, Hive, Pig, MATLAB, Weka, Matplotlib
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Lead Machine Learning Engineer
Glendale or New York City
$142k-$199k/yr HybridFull Time
7+ YOEBachelor's in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning and feature engineering, cloud (AWS) and big data tech, leadership and observability experience.
AWS, Step Functions, Lambda, Glue, SQS, SNS, Personalize, Spark, Databricks, Kinesis, Kafka, Datadog, REST, RAGs, Agile/Scrum
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Machine Learning Infrastructure Engineer
San Francisco or New York or Los Angeles or Seattle
$200k-$345k/yr HybridFull Time
4+ YOE4+ years building ML systems,3+ years software engineering,1+ year Python,experience with databases,monitoring,cloud services and production ML deployments.
Python, PostgreSQL, DynamoDB, Elasticsearch, Redis, DataDog, Grafana, AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS, ECS, Apache Kafka, Flink
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Machine Learning Engineer, Level 5
Palo Alto or Seattle or San Francisco or Los Angeles or New York City or Bellevue
$178k-$313k/yr OnsiteFull Time
5+ YOE5+ years post-Bachelor’s ML experience (alternatively advanced degree + fewer years); strong ML fundamentals, production ML lifecycle experience, collaboration and mentorship, proficiency with modern ML frameworks and AI tools.
TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn
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Machine Learning Engineer, Senior Manager
Southfield or San Francisco or Seattle or Boston or New York City or Los Angeles or San Diego or United States
$184k-$270k/yr RemoteFull Time
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Kubeflow, DVC, Ray, gRPC, GraphQL, Databricks MLflow, Databricks Model Serving, MLflow, Apache Airflow, Spark, Flink, Kafka, Kinesis, Snowflake, Databricks, XGBoost, Transformers
2mo
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Machine Learning Engineer
Los Angeles, California, United States
$100k-$140k/yr HybridFull Time
2+ YOEBS in EE/CS/CE + 2+ years ML; Python ML frameworks; MATLAB/C++; US citizen; background check.
Python, TensorFlow, PyTorch, scikit-learn, MATLAB, C/C++
1w
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Senior Machine Learning Engineer - News, Books, and Stocks Team
Culver City, California, United States
OnsiteFull Time
Experienced machine learning engineer to solve hard ML problems and collaborate with a distributed client-and-ML engineering team.
22h
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Lead Machine Learning Engineer
Burbank, California, United States
OnsiteFull Time
Requires 6–8+ years in ML infrastructure, platform, or high-scale backend engineering; Kubernetes, serving frameworks, GPU architecture, CUDA, and technical leadership. Python and C++ preferred.
1d
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Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start
Seattle or Bellevue or Los Angeles County
$100k-$178k/yr OnsiteFull Time
Bachelor's or master's degree in computer science, engineering, mathematics, statistics, or related field; knowledge of data structures, algorithms, systems, software design, and machine learning.
Kaggle, A/B testing
1w
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Staff Machine Learning Engineer
Pasadena or San Francisco or Washington or United States
HybridFull Time
6+ YOE6+ years building production backend and ML-driven systems; experience with LLMs, agentic systems, retrieval/RAG, evals, PyTorch, Python; BS/MS/PhD or equivalent.
PyTorch, Python, Rust, Triton, vLLM
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Machine Learning Engineer II
Seattle or Irvine or Los Angeles
$159k-$255k/yr OnsiteFull Time
3+ YOE3+ years experience with Python and SQL, strong CS fundamentals, experience delivering production ML systems, knowledge of ML subfields (time series, quantitative modeling, etc.), AWS services preferred, strong communication.
Python, SQL, S3, ECS, EKS, Lambda
2w
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Machine Learning Engineer II
Seattle or Los Angeles or Irvine
$159k-$255k/yr HybridFull Time
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.
Python, SQL, AWS, S3, ECS, EKS, Lambda
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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.
2mo
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Staff Machine Learning Engineer, Search Ranking
Palo Alto or Seattle or San Francisco or Santa Monica or Bellevue
$229k-$343k/yr HybridFull Time
8+ YOE8+ years ML experience; degree in a technical field; experience with ranking models and large-scale ML systems; strong collaboration and leadership.
Spark, Flink, Beam, TensorFlow, PyTorch, JAX, Python, C++, Java, Scala, ML Infrastructure, Airflow
1mo
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Machine Learning Engineer, Monetization Data Alignment
Singapore or Los Angeles or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
OnsiteFull Time
3+ YOE3+ years ML experience, BS or above in CS/AI/math/stat, strong ML/deep learning background, experience taking models to production, expertise in LLM/MLLM/NLP/CV/multimodal techniques, strong problem solving and collaboration skills.
2mo
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Machine Learning Engineer 5 - Ads Inventory Management & Forecasting
Los Gatos or New York or Los Angeles
$466k-$750k/yr OnsiteFull Time
Experience building end-to-end ML deployment and low-latency inference infra for real-time ad systems; handling large-scale data with Spark; forecasting ad metrics; building scalable simulations; cross-functional collaboration.
Spark, Lucene, VAST, OpenRTB, SSP, DSP
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