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Artificial Intelligence/Machine Learning EngineerPhase2 Technology • San Diego, California, United States
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Artificial Intelligence/Machine Learning Engineer

Phase2 Technology
  • US
    San Diego, California, United States
  • US
    San Diego, California, United States
Jetzt Bewerben

Über

Artificial Intelligence/Machine Learning Engineer Job Number: R0238878
Opportunity As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem‑solve to support Warfighter Performance challenges. As a machine learning engineer on our Warfighter Performance team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll contribute to the direction of mission‑critical solutions by applying best‑fit ML algorithms and technologies. You'll grow within a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, SMEs, and product owners to deliver world‑class solutions to Optimize Warfighter Performance. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real‑world challenges and define ML strategy for Warfighter Performance and Warfighter Technology.
Join us. The world can’t wait.
What you have
Experience with Python, SQL, Git, data analysis, and machine learning workflows using libraries such as pandas, NumPy, scikit‑learn, PyTorch, or TensorFlow
Experience building scripts, notebooks, prototypes, or small applications that process data and support AI/ML use cases
Experience with APIs, structured data, cloud‑hosted services, and how AI systems use tools and external knowledge sources to generate grounded responses
Knowledge of machine learning fundamentals, data preprocessing, model evaluation, prompt engineering, LLMs, embeddings, and retrieval‑augmented generation concepts
Ability to write clean code, troubleshoot technical issues, learn new frameworks quickly, and support development of AI/ML prototypes, data pipelines, model workflows, and agentic workflow components
Ability to communicate technical work clearly, document progress, and present findings to technical and non‑technical stakeholders
Ability to obtain a Secret clearance
Bachelor’s degree in computer science, data science, engineering, mathematics, statistics, or artificial intelligence
Nice if you have
Experience supporting LLM‑based applications, retrieval‑augmented generation, tool‑calling agents, evaluation workflows, or AI‑assisted decision support systems
Experience with cloud or DevOps tools such as AWS, Docker, CI/CD, Linux, APIs, vector search, notebooks, lightweight dashboards, or backend services
Experience with human performance, health, fitness, sleep, nutrition, readiness, or behavioral data
Knowledge of agentic AI patterns, including tool use, prompt libraries, memory, retrieval, guardrails, evaluation, and human‑in‑the‑loop workflows
Ability to help design, test, and improve agentic AI workflows that combine models, tools, data sources, and business rules
Ability to document experiments, compare model outputs, evaluate failure cases, and clearly brief recommendations, risks, and progress to project teams or clients
Secret clearance
Master’s degree in AI, machine learning, data science, software engineering, applied analytics, human performance, psychology, kinesiology, or physiology
AI, machine learning, data science, cloud, DevOps, or security Certification
Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Verification As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in‑person or virtual) is prohibited unless permission is explicitly provided.
Work Model Our people‑first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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  • San Diego, California, United States

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  • English
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