Sr. Machine Learning Engineer

TEKsystems • Menlo Park, CA

6d • $70 - $85 • Hybrid

About The Position

As a ML Engineer, you'll be joining this client as the begin building the next generation of Computer Use Agents (CUA). You'll own benchmark development and model failure analysis for the CUA training pipeline. You'll be running evaluations against model checkpoints, analyzing where and why the model fails, and feeding those insights back into the training loop.

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

Nice To Haves

• RL/RLHF Exposure
• LLM Evaluation Experience
• Log Analysis

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

Benefits

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior