Machine Learning Engineer

Machine Learning Engineer

The Opportunity: 

Are you looking for an opportunity to combine your technical skills with practical problem-solving abilities to make an impact in multi-domain DoD AI/ML sensor applications? You understand your customer’s environment and how to develop the right system for their mission. Your ability to address real-world needs through practical data fusion and AI/ML solutions makes you an integral part of delivering an advanced customer engineering solution.

As a Machine Learning engineer, we are looking for you to solve complex challenges and lead the development and application of multi-domain data fusion solutions by collaborating with sensor data experts and autonomous system engineers.

Share your expertise through leadership and mentoring, while broadening your skillset in the use, fusion, feature analysis, and exploitation of multi-domain sensors, including electro-optical (EO), infrared (IR), Synthetic Aperture Radar (SAR), hyperspectral, LIDAR, and other remote sensing systems.

Your customer will rely on you not just to design and build systems using proven solutions, but also to enhance and innovate them with advanced technologies.

Join us. The world can't wait.

You Have:  

• 5+ years of experience in applying Supervised and Reinforcement Learning

• Experience with Python and its ecosystem of Data Handling, Data Preprocessing, Machine and Deep Learning Libraries

• Experience with processing and characterizing the output signals of some sensor technologies, such as electro-optical (EO), infrared (IR), synthetic aperture radar (SAR), radio frequency (RF), ground moving target indicator (GMTI), and LIDAR

• Secret clearance

• Bachelor’s degree in Engineering, Computer Science, or Robotics

Nice If You Have:  

• Experience with data fusion, reinforcement learning, perception systems, autonomous navigation, or decision-making under uncertainty

• Experience deploying ML models in cloud environments

• Experience working in multidisciplinary teams with system engineers, software developers, and operational users

• Possession of strong problem-solving and analytical thinking

• Possession of excellent communication skills for cross-functional collaboration

• Top Secret clearance

• Doctorate degree in Engineering, Computer Science, Robotics, or a related field

Clearance: 

 Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $128,700.00 to $292,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.