4 machine learning platform engineer jobs at 3 companies in Vista, CA
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Senior Software Engineer, Machine Learning Platform
San Diego, California, United States
$187k-$266k/yr HybridFull Time
5+ YOEMaster's in CS or equivalent plus 5+ years designing/deploying low-latency, high-throughput ML inference systems; expertise in Scala/Java/Go, Bazel monorepos, Prow, Pulumi, feature stores, observability, and compliance (GDPR, SOC2).
Scala, Guice, Bazel, Prow, GitHub Prow, Golang, Pulumi, Java, Go
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Senior Software Engineer, Machine Learning Platform
San Diego, California, United States
$187k-$266k/yr OnsiteFull Time
5+ YOEMaster’s in computer science or related field or equivalent, plus 5 years designing distributed ML inference systems. Requires Scala, Java, Go, Bazel, Prow, Pulumi, and ML platform expertise.
Scala, CNNs, Guice, Bazel, Prow, Golang, Pulumi, Java, Go, GDPR, SOC2, MLOps
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Senior Data Engineer
San Diego, California, United States
$123k-$178k/yr OnsiteFull Time
3+ YOEBachelor’s degree or equivalent technical discipline; 3+ years in software, machine learning, data, or platform engineering; strong Python and SQL; production GenAI/LLM, databases, APIs, pipelines, testing, monitoring, and distributed systems experience.
Python, SQL, RAG, APIs, Spark, Flink, Kafka, Hive, Airflow, Kubernetes, Paimon, Iceberg, Delta Lake
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Lead AI / ML Engineer
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$80k-$294k/yr HybridFull Time
6+ YOERequires 6+ years developing AI/ML solutions, programming in Python, R, or Java, machine learning frameworks, data analysis, cloud platforms, and strong communication skills.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Azure, Google Cloud, D3.js, ggplot