Sr. Machine Learning Engineer

Help Advance the Next Generation of AI Agents We're seeking a Senior Machine Learning Engineer to support the development of advanced AI systems capable of interacting with software, tools, and digital environments. This role focuses on evaluating model performance, identifying failure patterns, building benchmark frameworks, and delivering insights that directly improve model quality and training outcomes. You'll work closely with machine learning researchers, engineers, and cross-functional partners in a fast-moving environment where experimentation, analysis, and problem-solving are central to success. What You'll Do

• Design, build, and maintain benchmark suites and evaluation frameworks for AI/ML models
• Execute large-scale model evaluations and analyze performance across checkpoints
• Investigate model failures and identify root causes behind poor performance
• Develop Python and SQL workflows to process, transform, and analyze large datasets
• Automate evaluation and reporting processes to improve efficiency and scalability
• Partner with researchers and engineering teams to translate findings into model improvements
• Document methodologies, experiments, and results
• Communicate technical findings clearly to both technical and non-technical stakeholders

• Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field

• 5+ years of hands-on experience developing with Python and SQL

• 3+ years of applied Machine Learning or ML Engineering experience

• Experience evaluating machine learning models and analyzing performance metrics

• Experience designing, implementing, or improving benchmarking and evaluation frameworks

• Strong analytical and problem-solving skills with the ability to perform detailed failure analysis

• Experience working with large-scale datasets and data pipelines

• Comfortable working in Linux-based environments

• Strong communication and collaboration skills Preferred Qualifications

• Experience evaluating Large Language Models (LLMs) or Generative AI systems

• Exposure to Reinforcement Learning (RL) or Reinforcement Learning from Human Feedback (RLHF)

• Experience building automated evaluation pipelines

• Familiarity with agentic AI systems, AI assistants, or autonomous agents

• Research experience, publications, or contributions to ML/AI projects

• Delivering reliable benchmark and evaluation frameworks

• Identifying actionable model failure trends and root causes

• Providing data-driven recommendations that improve model quality

• Building scalable evaluation processes that accelerate research and development efforts

• Collaborating effectively across research, engineering, and product teams Work Environment

• Hybrid work arrangement based in Menlo Park, California

• Collaborative team spanning multiple locations

• Fast-paced research and engineering environment with evolving priorities

• Opportunity to work on cutting-edge AI and machine learning initiatives Interested? If you're passionate about machine learning evaluation, AI systems, data analysis, and solving complex technical challenges, we'd love to hear from you. Apply today to help shape the future of intelligent systems. Job Type & LocationThis is a Contract position based out of Menlo Park, CA. Pay and BenefitsThe 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 TypeThis is a hybrid position in Menlo Park,CA. Application DeadlineThis position is anticipated to close on Aug 10, 2026.

About TEKsystems

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