Sr. Machine Learning Engineer
TEKsystems · Menlo Park, CA · 1 wk ago
HybridEngineering$70–$85/hrFull-time
Responsibilities
- Land new benchmarks and eval suites for the CUA models
- Run model evaluations against checkpoints and analyze results
- Perform model failure analysis — dig into where the model breaks down and why
- Write Python and SQL to process, transform, and analyze large-scale data
- Support automation of eval workflows over time
- Collaborate with research scientists, engineers, and TPMs on the team
- Document methodology and results
- Communicate findings clearly to stakeholders
Requirements
- Bachelor's degree in Computer Science, Statistics, ML, or related field
- 5+ years of experience in data analysis / ML engineering
- Strong proficiency in Python
- Proficient in SQL
- Hands-on experience with model evaluation and benchmarking
- Ability to perform rigorous model failure analysis
- Comfortable working with Linux systems
- Strong communication and collaboration skills
- Ability to work independently and in a fast-moving team environment
Top Skills
- Python
- SQL
- Data Analysis
- Machine Learning
- Model Evaluation
- Benchmarking
- Failure Analysis
- Eval Automation
- RL/RLHF Exposure
- LLM Evaluation Experience
- Log Analysis