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Machine Learning Engineer

Eve
San Francisco, USA
Full-time
Mid-Senior
Onsite
$195,000–$350,000
Discovered 3 weeks ago
Applied machine learningAI systems for legal workflowsProduction ML deploymentAI reasoning and agent systemsModel evaluation frameworksModel quality optimization

Full Job Posting

About Eve

Eve builds AI technology for plaintiff law firms, supporting work across case intake through resolution.

The company says its product is used by more than 1,000 law firms and that it collaborates with OpenAI and Anthropic.

About the role

The Machine Learning Engineer will build applied ML systems and agent workflows for high-stakes legal work.

The role spans data curation, evaluation, and production deployment, with end-to-end project ownership and collaboration with product and legal experts.

What you'll do

  • Build AI systems that understand, analyze, and reason across complex legal tasks and queries.
  • Improve model reasoning for high-stakes legal decisions and use real usage data to improve quality and reliability.
  • Build evaluation frameworks that measure performance and trustworthy outcomes.
  • Integrate models into user-facing features with product engineers and translate legal expertise into technical requirements.

What they're looking for

  • At least 4 years of engineering experience focused on applied ML/AI products.
  • Track record of shipping production ML systems used by real users with high uptime.
  • Experience developing AI systems that break complex tasks into manageable steps.
  • Strong analytical ability to define useful metrics, build evaluation frameworks, and iterate from usage.
  • End-to-end ownership and comfort working on problems without clear answers.
  • Interest in state-of-the-art research, models, and agent architectures is noted.

Compensation and benefits

  • The US salary range is $195,000–$350,000; the posting does not state a pay cadence.
  • Benefits listed include salary and equity, 401(k) matching, insurance, disability coverage, commuter benefits, flexible time off, and a telecommuting stipend.
  • Some perks are limited to in-office employees.

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