ML Engineer – AI
ConnectHum
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
About the role
- Build and scale automated evaluation systems for AI models.
- Develop and train automated “judge” models to assess AI outputs.
- Design validation frameworks to ensure accuracy and reliability across languages.
- Create synthetic data pipelines to improve evaluation coverage.
- Build scalable analysis and reporting systems for AI performance.
- Work closely with language experts and cross-functional teams.
Requirements
- 3+ years of experience in ML engineering or applied ML research.
- Experience training, fine-tuning, and evaluating language models or classifiers.
- Experience building data pipelines and automated evaluation or monitoring systems.
- Strong understanding of experimentation and statistical validation
- Fluent English.
Benefits
- Competitive compensation
- Comprehensive health coverage
- Top-tier hardware & tools
- Budget for learning
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning engineeringautomated evaluation systemstraining language modelsfine-tuning classifiersdata pipelinesstatistical validationsynthetic data generationAI model assessmentvalidation frameworksperformance analysis
Soft Skills
collaborationcommunicationcross-functional teamworkproblem-solvingattention to detail