Machine Learning Researcher

Machine Learning Researcher

The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by machine learning and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities.

As a Machine Learning Researcher, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data. You'll design and implement machine learning solutions for complex tasks on large datasets, including extracting insights from multiple disparate data sources and types, such as cyber, language, and vision. You'll perform research in machine learning, including adversarial machine learning, algorithmic fairness, and model interpretability. You'll write journal articles, present at academic conferences, and produce whitepapers and briefings to both technical and non-technical audiences. You'll serve as the client interface and maintain responsibility across the entire life cycle, including requirements gathering and analysis, process and systems definition, data analysis, presentation of analysis to clients in a format they can digest, and development of algorithm driven products and solutions.

Join us. The world can’t wait.

You Have:

• 5+ years of experience with programming in Python and C

• Experience with machine learning, including Bayesian machine learning methods

• Knowledge of adversarial machine learning or differential privacy

• Knowledge of mathematics and statistics, including coursework in the theory of probability, statistical inference, algorithms, linear algebra, and calculus

• Ability to derive a variational inference procedure mathematically for a novel model and implement the inference procedure in a framework, including PyTorch or Numpy

• Ability to communicate results to both technical and non-technical audiences effectively

• Ability to obtain a security clearance

• Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Applied Mathematics, or Engineering

Nice If You Have:

• Experience with application areas of machine learning, including computer vision, natural language processing, and learning on graphs

• Experience with Bayesian deep learning and Gaussian processes

• Experience with building complex data pipelines

• Experience with using GPUs for machine learning using frameworks, including PyTorch or TensorFlow

• Knowledge of cloud systems, including AWS, Azure, or GCP

• Ability to work independently on complex tasks

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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 develop 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