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ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
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.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
1mo
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Senior Machine Learning Operations Engineer
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yr HybridFull Time
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
Python, FastAPI, Flask, SHAP, SQL, Redis, DynamoDB, Kafka, Kinesis, Redpanda, Snowflake, dbt, Dagster, Airflow, Haskell, React, TypeScript
2w
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Service Engineer II IS - Hybrid
Redmond or Renton or Seattle or Portland or Irvine
HybridFull Time
2+ YOEBachelor's in CS/CE/Math/Engineering or equivalent; 2+ years related experience; experience with automation (deployment/recovery), n-tier solutions, resilience modeling and service outage simulation.
1w
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Senior Machine Learning Engineer, Computer Vision
Hood River, Oregon, United States
$165k-$190k/yr HybridFull Time
5+ YOE5+ years ML experience focused on computer vision; BS/MS/PhD or equivalent; hands-on experience with CV models, model evaluation, data pipelines, PyTorch/TensorFlow, Python; experience optimizing models for edge deployment preferred.
PyTorch, Tensorflow, OpenCV, NumPy, Python, C++, Nvidia Jetson