Sr. Machine Learning Engineer

Research Operations Automation Statistics Benchmarking Communication Data Analysis Collaboration Computer Science Machine Learning Business Valuation Workflow Management Full Stack Development Artificial Intelligence Business Transformation SQL (Programming Language) Python (Programming Language) Large Language Model Evaluation Machine Learning Model Monitoring And Evaluation, 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.

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

python, SQL, Data Analysis, Machine Learning, Model Evaluation, Benchmarking, Failure Analysis, Eval Automation, RL/RLHF Exposure, LLM Evaluation Experience, Log Analysis, * 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

This is a Contract position based out of Menlo Park, CA. Pay and Benefits

The pay range for this position is $70.00 - $85.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• 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) Workplace Type

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Sr. Machine Learning Engineer TEKsystems Menlo Park, CA*Remote Linux Research Operations Automation Statistics Benchmarking Communication Data Analysis Collaboration Computer Science Machine Learning Business Valuation Workflow Management Full Stack Development Artificial Intelligence Business Transformation SQL (Programming Language) Python (Programming Language) Large Language Model Evaluation Machine Learning Model Monitoring And Evaluation +0