Machine Learning Engineer
USA, VA, Arlington (4121 Wilson Blvd), United States
Full Time Mid-level / Intermediate Clearance required USD 96K - 220K
Booz Allen Hamilton
Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.The Opportunity:
As an experienced engineer, 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 research and development of ML solutions for intelligent perception and NextGen Command and Control Systems. As a machine learning engineer on our Army team, you’ll train, test, deploy, and maintain models that learn from data.
In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners among others to deliver world class solutions to our Army and DoD clients. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for our Army S&T focused clients.
Join us. The world can’t wait.
You Have:
Experience developing multi-agent reinforcement learning techniques
Experience developing zero-shot panoptic segmentation pipelines for ground-to-ground IR data
Experience with cross-domain applicability between computer vision, robotics, and neuroscience
Knowledge of hyperdimensional computing (HDC) and continual learning (CL) techniques
TS/SCI clearance
Master's degree in Science or Electrical Engineering
Nice If You Have:
Experience designing and executing AiTR data collection events, leveraging various sensing technologies used to advance state-of-the-art AiTR algorithms
Experience developing models for multi-aspect object recognition
Experience developing battlefield simulation environments using Pygame and PettingZoo
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 $96,600.00 to $220,000.00 (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.
Tags: Computer Vision Engineering Machine Learning Pipelines Reinforcement Learning Research Robotics Security Statistics
Perks/benefits: Career development Health care Team events
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