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Commission Post Production Engineer Jobs in California

Sanas

Staff+ Production Engineer

Palo Alto, CA · On-site

The role of Production Engineer involves taking complete ownership of infrastructure for high-scale ... and post-mortem procedures. • Proactively build robust self-service tools, systems, and ...

Sanas

Staff+ Production Engineer

Palo Alto, CA · On-site

The Production Engineer will take complete ownership of the infrastructure for deploying and ... and post-mortem procedures. • Proactively build robust self-service tools, systems, and ...

Sanas

Staff+ Production Engineer

Palo Alto, CA · On-site

About the Role We are seeking a Production Engineer to take complete, end-to-end ownership of the ... and post-mortem procedures. * Proactively build robust self-service tools, systems, and ...

Teledyne

MBE Growth Production Engineer

Camarillo, CA · On-site

$90K - $121K/yr

The MBE Growth Production Engineer is responsible for the MBE growth and characterization of HgCdTe ... post growth wafer characterization and correlation of MBE growth results with final device ...

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All JobsPost Production Engineer JobsCommission Post Production Engineer JobsCommission Post Production Engineer Jobs in California

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Infographic showing various Commission Post Production Engineer job openings in California as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, 4% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Research Engineer, Production Model Post-Training

Anthropic

San Francisco, CA • On-site

Full-time

Re-posted 22 days ago

Job description

About the role

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.

You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.

Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.

Responsibilities:
  • Implement and optimize post-training techniques at scale on frontier models
  • Conduct research to develop and optimize post-training recipes that directly improve production model quality
  • Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
  • Develop tools to measure and improve model performance across various dimensions
  • Collaborate with research teams to translate emerging techniques into production-ready implementations
  • Debug complex issues in training pipelines and model behavior
  • Help establish best practices for reliable, reproducible model post-training
You may be a good fit if you:
  • Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities
  • Adapt quickly to changing priorities
  • Maintain clarity when debugging complex, time-sensitive issues
  • Have strong software engineering skills with experience building complex ML systems
  • Are comfortable working with large-scale distributed systems and high-performance computing
  • Have experience with training, fine-tuning, or evaluating large language models
  • Can balance research exploration with engineering rigor and operational reliability
  • Are adept at analyzing and debugging model training processes
  • Enjoy collaborating across research and engineering disciplines
  • Can navigate ambiguity and make progress in fast-moving research environments
Strong candidates may also:
  • Have experience with LLMs
  • Have a keen interest in AI safety and responsible deployment

We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.

Apply