Research Engineer/Research Scientist
Research Engineer/Scientist improving model capabilities for personalized AI experiences. Focus on tool-use, instruction following, evaluations, and training improvements. Requires strong ML engineering and research experience.
About the job
Responsibilities
- Own and pursue a research agenda to improve model capability and performance
- Collaborate closely with research and product teams to optimize models for customers
- Build robust evaluations for tracking modeling improvements
- Design, implement, test, and debug code across the research stack
Requirements
- Strong ML engineering skills and research experience
- Deep understanding of machine learning and machine learning applications
- Working knowledge of relevant models and building evaluations for model capability improvement
- Comfortable diving into a large ML codebase to debug
- Ability to thrive in a dynamic and technically complex environment
Nice-to-Haves
- Passion for creative, product-driven research
Skills
Machine Learning, Ml Engineering, Model Evaluation, Research, Python, Deep Learning, Model Training, Debugging Ml Codebases, Evaluation Frameworks, Tool-Use
Similar jobs
ML Engineering jobs
OpenAI
San Francisco, CA
Build production machine learning systems for model customization, post-training, evaluation, and AWS-native API integration. The role requires 7+ years of relevant engineering experience and expertise in deep learning, transformers, LLM fine-tuning, and production ML infrastructure.
Garner Health
New York, NY
Leads and builds a team of Applied Scientists developing production algorithmic systems for healthcare optimization, LLM applications, and member engagement. Requires 6+ years of relevant industry experience, strong technical judgment, and hands-on expertise across machine learning and optimization.
OpusClip
Mountain View, CA
Leads a hands-on AI engineering team developing, evaluating, and deploying large-scale multimodal and video models. The role combines post-training, inference optimization, product experimentation, technical roadmap ownership, and people management.
Discord
United States
Leads Discord’s Safety ML team, setting technical direction and overseeing production machine learning systems for content understanding, account integrity, and platform abuse. Requires substantial machine learning and engineering management experience, hands-on technical depth, and experience delivering ML systems at scale.
Baselayer
San Francisco, CA
Senior AI Engineer responsible for production LLM agents that enrich business identity data through web discovery, verification, classification, and risk scoring. The role requires strong asynchronous Python, agent and evaluation expertise, browser automation, and experience operating AI systems in production.