Machine Learning Engineer, Senior

Machine Learning Engineer, Senior

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 development of an advanced prediction model which leverages medical imaging data. As a machine learning engineer on our AI Radiology team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.

You’ll be part of a large community of machine learning engineers across the firm and collaborate with clinicians, data scientists, and product owners to deliver world class solutions. You will train, test, and deploy advanced statistical and ML models which modernize risk-stratification of patients. Your advanced consulting 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 federal clients.

Empower change with us.

You Have:  

• 4+ years of experience working in a machine learning engineering, data engineering, or data researcher role, including in a professional or academic environment

• Experience in Computer Vision

• Experience with machine learning frameworks, including Tensorflow or PyTorch

• Experience designing and developing machine learning algorithms, pipelines, and systems

• Experience in common data analytics and programming languages, including Python

• Knowledge of state-of-the art Machine Learning methods

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor’s degree 

Nice If You Have:  

• 1+ years of experience in software development

• Experience working with clinical data

• Experience working collaboratively with teams on code

• Ability to communicate advanced Machine Learning concepts to a clinical audience  

• Bachelor's degree in Machine Learning, Data Science, CS, or a related field

  

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.  

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.  

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us. 

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.