1mo
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ML Ops Engineer
El Segundo, California, United States
OnsiteFull Time
4+ YOE4+ years in MLOps/ML Engineering/DevOps, strong Python, Apache Airflow, MLflow, AWS (Batch, EC2, S3, IAM, CloudWatch), Docker, Git, SQL/Snowflake, monitoring/alerting, CI/CD, IaC, and experience with production ML lifecycle and healthcare security (HIPAA/SOC 2) preferred.
Apache Airflow, MLflow, AWS Batch, EC2, S3, IAM, CloudWatch, Python, Docker, Git, Snowflake, TorchServe, TF Serving, Triton, GitHub Actions, Jenkins, DVC, LakeFS, Apache Spark, Dask
5d
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Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, California, United States
$150k-$250k/yr HybridFull Time
5+ YOE5+ years building large-scale systems with 2+ years on ML infrastructure; BS in CS/ML/engineering; proficiency in Python and Git; experience with CI/CD, distributed training, cloud ML architectures; strong communication and system design skills.
MLflow, SageMaker, Kubeflow, Airflow, Metaflow, Python, Git, PyTorch DDP, Horovod, Ray, AWS, GCP, Azure
2mo
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Director, Decision Science AI/ML Engineering & Ops
Burbank or Lake Buena Vista
$218k-$307k/yr HybridFull Time
12+ YOE12+ years of experience leading decision scientists/ML engineers; strong statistical and modeling fluency; proficient in Python/SQL/R; able to deploy production-grade decision-science software; leadership and collaboration skills; experience with GitLab/GitHub, Docker, CI/CD.
Python, R, SQL, GitLab, GitHub, Docker, CI/CD
2mo
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Senior Machine Learning Engineer - News
New York or Glendale
$149k-$199k/yr HybridFull Time
5+ YOE5+ years in production ML engineering; strong CS/math background; backend microservices; cloud (AWS); data pipelines; ML Ops; leadership and collaboration.
AWS, Step Functions, Lambda, Glue, SQS, SNS, Personalize, Spark, Databricks, Kinesis, Kafka, REST, CI/CD, Datadog, Rest APIs
1mo
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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
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.