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# Sr. Machine Learning Engineer

- **Company:** TEKSYSTEMS INC.
- **Location:** Atherton, CA, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $176,800.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Big Data, Python (Programming Language), Linux System Administration, Machine Learning, Standard Sql, SQL Databases, Reinforcement Learning, Large Language Models, Multi-Agent Systems, Generative AI, Information Technology, Performance Monitor, Data Pipelines
- **Published:** July 29, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17735342?backUrl=%2Fcareer%2F17735342%2FSr-Machine-Learning-Engineer-California-Menlo-Park

## About the Role

* 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

## Description

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


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