Machine Learning Researcher
Nov 18, 2023
USA, MD, Annapolis Junction (308 Sentinel Dr) – Non Client Site
Machine Learning Researcher
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.
Experience with programming in Python and C
Experience with functional programming in OCaml
Experience with machine learning, including Bayesian machine learning methods
Knowledge of adversarial machine learning or differential privacy
Knowledge of mathematics and statistics, including 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
Ability to work independently on complex tasks
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
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 forge a connection with you during your journey as a candidate with us.
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 $93,300.00 to $212,000.00 (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.
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.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.