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# Sr. Machine Learning Engineer

- **Company:** CareerCircle
- **Location:** Menlo Park, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $176,800.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Computer Literacy, Linux, Python (Programming Language), Log Analysis, Machine Learning, Standard Sql, SQL Databases, Delivery Pipeline, Large Language Models, Model Validation, Information Technology
- **Published:** July 3, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/menlo-park/c7cd4eb2-825a-48d8-bd1f-dac9894afe3d

## About the Role

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

## Description

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


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