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Assistant Remote Machine Learning Engineer Jobs in California

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI team, reporting ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Staff Machine Learning Engineer

Mountain View, CA ยท On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

Machine Learning Engineer

South San Francisco, CA ยท On-site +1

$212K - $318K/yr

... engineering constraints. * Design systems to speed up the time from idea to deployment of new ... Designing, training and evaluating machine learning models; * Productionizing and deploying machine ...

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Assistant Remote Machine Learning Engineer information

What are the most commonly searched types of Remote Machine Learning Engineer jobs in California?

The most popular types of Remote Machine Learning Engineer jobs in California are:

What cities in California are hiring for Assistant Remote Machine Learning Engineer jobs?

Cities in California with the most Assistant Remote Machine Learning Engineer job openings:

Infographic showing various Assistant Remote Machine Learning Engineer job openings in California as of June 2026, with employment types broken down into 3% As Needed, 85% Full Time, 7% Part Time, 3% Temporary, and 2% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

Machine Learning Engineer - Remote

San Jose, CA โ€ข Remote

$80 - $120/hr

Full-time

Posted 13 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.