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Senior Pytorch Jobs in California (NOW HIRING)

They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Senior Machine Learning Engineer Location: San Francisco About Hum.ai Hum.ai is building planetary ... Proficiency with Python, Ray Trainer, PyTorch, and Anyscale framework. * Familiarity with cloud ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine ... learn, TensorFlow, PyTorch, or XGBoostData visualization tools like Power BI, Tableau, or ...

Senior ML Software Engineer, Data Plane

Cupertino, CA · On-site

$151K - $199K/yr

... PyTorch model definition through distributed execution on custom hardware. - Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine ... Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost * Data ...

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... Proficiency in Python, TensorFlow, PyTorch, and/or PySpark. Ability to translate business needs and ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

They are seeking a Senior Machine Learning Engineer to bridge high-level AI research and real-world ... Fluency in PyTorch or JAX for training large-scale models. • Proficiency in Python and ...

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine ... Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost * Data ...

Showing results 21-40

Senior Pytorch information

What are the most commonly searched types of Pytorch jobs in California? The most popular types of Pytorch jobs in California are:
Infographic showing various Senior Pytorch job openings in California as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Senior Software Engineer (MLOps / Developer Tools)

HRC Global Services

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Re-posted 23 days ago


Job description

Job Title: Senior Software Engineer (MLOps / Developer Tools)

San Francisco, CA (Onsite | No Remote)
Full-Time | Direct Hire
Visa Sponsorship Available (H1B and other visas supported)
Bachelor’s Degree required (Computer Science preferred)
Relocation Support: Negotiable

 Role Overview

As a Senior Software Engineer, you will work on core developer-facing infrastructure that processes code and runtime signals at scale. The work blends systems engineering, backend architecture, and ML-adjacent data processing to deliver high-signal insights for developers.

You will design and build systems that ingest and analyze execution traces, test artifacts, and runtime behavior, then surface actionable results through APIs, tooling, and product workflows.

This is a highly impactful role working directly with the founders and early engineers.

Key Responsibilities
  • Own major components of the core engine analyzing and validating software behavior across large codebases

  • Design and build scalable services to collect, process, and store runtime artifacts (execution traces, test results, performance signals)

  • Build developer-facing tooling including APIs, CLI tools, and UI workflows

  • Collaborate directly with founders on architecture, technical strategy, and roadmap planning

  • Work with early design partners and customers to translate engineering pain points into real product features

  • Deliver high-quality production-ready systems with reliability and low latency

Required Qualifications
  • 2–8 years of software engineering experience (backend/systems/infrastructure/developer tools)

  • Strong programming ability in Python (and/or Rust/Go/other backend languages)

  • Hands-on experience with modern ML tooling such as:

    • PyTorch

    • JAX

    • MLOps pipelines

  • Experience working with large codebases, CI/testing frameworks, observability, or runtime reliability

  • Strong system design skills and ability to build scalable services

  • Ability to operate independently in a fast-moving startup environment

  • Strong ownership mindset: take ambiguous problems → design solution → ship iteratively


Preferred / Nice-to-Have
  • Experience with static analysis, dynamic analysis, fuzzing, runtime validation, or property-based testing

  • Experience building developer tools: IDE plugins, CI/CD tooling, debuggers, profilers, test frameworks

  • Exposure to ML-enabled developer tools (even if not an ML specialist)

  • Practical experience tuning modern ML architectures (sequence models, efficiency techniques, inference optimization)

Work Setup
  • Onsite in San Francisco (Monday–Friday)

  • High-collaboration environment with direct access to founders

  • Small team, high autonomy, high ownership

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