Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Bah. Aurora · full-time · $77,600–$176,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Train, evaluate, launch and look after models that learn from data
- Choose suitable machine learning methods and technologies for mission-critical solutions
- Work with data scientists, physicists and systems engineers on agentic AI solutions
- Help set machine learning strategy for intelligence community space projects
What you bring
- You have worked on putting software into cloud environments such as AWS, Azure or Google
- You bring Kubernetes experience and a background in data science or machine learning
- You can program in Python, Java or C++ and hold a bachelor's degree
- You have an active TS/SCI clearance and are willing to undergo a polygraph exam
Who this fits
This mid-level role suits an engineer who wants to build and operate machine learning models for space projects, working with scientists and engineers. An active TS/SCI clearance is required, and you must be willing to take a polygraph exam.
From the employer
The 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 the space industry. As a machine learning engineer on our space 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 talented team of machine learning engineers across the company and collaborate with data scientists, physicists, and systems engineers to deliver world-class solutions to develop agentic AI solutions. 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 intelligence community space projects.
Join us. The world can’t wait.
You Have:
Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google
Experience with Kubernetes
Experience with data science or machine learning
Knowledge of Python, Java, or C++ programming
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor's degree
Nice If You Have:
Experience with machine learning operations pipelines
Ability to deploy software into a production environment
TS/SCI clearance with a polygraph
Bachelor's degree in a STEM field
Security+ Certification
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
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 Statement
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.