Machine Learning Engineer
Arena
full-time
Posted on:
Location Type: Hybrid
Location: Bay Area • California • United States
Visit company websiteExplore more
About the role
- Architect and build what will become our core modeling for data and evaluation products
- Own the full stack data, model training, and eval pipelines
- Help grow a culture of feedback and rapid product iteration as we build new features as a tight-knit team
- Conduct research into state-of-the-art evaluation methods and contribute to the long-term vision for a centralized, scalable evaluation platform.
Requirements
- Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack
- Experience in deep learning, language models or reward model training
- Experience in working with LLM for fine tuning, prompt engineering, function calling etc
- Self-motivated with a willingness to take ownership of tasks
- A passion for shipping quality products
- 4+ years of industry experience or relevant projects
- Solid understanding of statistics, and various tools and methodologies for evaluating uncertainty in a way that is specific to the given product being shipped
Benefits
- Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
- The opportunity to work on cutting-edge AI with a small, mission-driven team
- A culture that values transparency, trust, and community impact
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
programmingdeep learninglanguage modelsreward model trainingLLM fine tuningprompt engineeringfunction callingstatisticsevaluation methodsdata modeling
Soft Skills
self-motivatedownershippassion for qualityfeedback cultureteam collaborationrapid product iteration