Machine Learning Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $77,600–$176,000 / yr
Posted: 3 days ago
Closes: Sep 10, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $220k

This role $127k

$55k most similar roles pay here $285k

This role pays less than 98% of similar roles. Most pay $189,750–$249,750 — the shaded band above. At the midpoint, this role pays about $127k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Machine Learning Engineer

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As a Machine Learning Engineer on the Warfighter Performance team at our company, you will play a crucial role in developing and deploying machine learning models to enhance warfighter performance. Your day-to-day responsibilities include training and testing ML algorithms, collaborating with data engineers and scientists to build scalable solutions, and maintaining mission-critical systems. You will work extensively with Python, SQL, Git, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, and cloud services like AWS. Additionally, you should have a solid understanding of machine learning fundamentals, data preprocessing, model evaluation, and be capable of integrating AI systems with external knowledge sources to generate accurate responses. This role involves working on large datasets and complex problems in the realm of warfighter technology optimization, requiring strong communication skills to present technical findings to both technical and non-technical stakeholders.

Skills

Python pandas NumPy scikit-learn PyTorch TensorFlow AWS Docker CI/CD APIs Linux vector search notebooks lightweight dashboards backend services LLMs embeddings retrieval-augmented generation agentic AI patterns prompt engineering tool-calling agents evaluation workflows AI-assisted decision support systems

What you'll do

Train, test, deploy, and maintain machine learning models for warfighter performance.
Apply best-fit ML algorithms to support mission-critical solutions within the company.
Collaborate with data engineers and scientists to deliver world-class AI/ML solutions.
Develop scripts, notebooks, prototypes, and small applications that process data.
Evaluate and preprocess data, ensuring accurate model evaluation and prompt engineering.
Write clean code for AI/ML prototypes and support development of data pipelines.

What we're looking for

Experience with Python, SQL, Git, and data analysis workflows.
Proficiency in machine learning libraries like pandas, NumPy, scikit-learn, PyTorch, TensorFlow.
Ability to build scripts, notebooks, prototypes for AI/ML use cases.
Knowledge of ML fundamentals, data preprocessing, model evaluation techniques.
Skill in writing clean code, troubleshooting issues, and supporting AI/ML development.

Hybrid

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