AI and ML Research and Development Technologist

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AI and ML Research and Development Technologist

Opportunity Overview

As an experienced engineer, you know that machine learning (ML) 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 customer-focused solutions. We need your technical knowledge and problem-solving skills to support our clients. Booz Allen Hamilton is seeking a highly skilled and experienced AI and ML R&D Lead Technologist to integrate cutting-edge AI and ML technologies into Intelligent Autonomous Systems (IAS). Join us in building and leading a team dedicated to pioneering advancements in AI and ML technologies.

Main Responsibilities

In this role, you'll:

  • Lead the design and development of advanced algorithms and software solutions for trusted autonomous systems.
  • Conduct experiments to explore new AI and ML technologies.
  • Collaborate with cross-functional teams, including hardware engineers, system engineers, and product managers, to ensure successful integration of these technologies into IAS.
  • Develop Test, Evaluation, Verification, and Validation (TEV&V) procedures and techniques for IAS.

What You Bring

Required Qualifications:

  • 2+ years of experience in AI and ML R&D.
  • Experience with ML, computer vision, and deep learning algorithms.
  • Proficient programming skills in Python, C++, or Java.
  • Ability to present research findings and recommendations effectively.
  • Strong collaboration partnerships with industry and academic institutions.
  • Up-to-date with the latest developments in AI, ML, and autonomous systems technologies.
  • Ability to obtain a security clearance.
  • Bachelor's degree in a relevant field.

Preferred Qualifications:

  • Experience with DevOps tooling, pipelines, and Kubernetes environments.
  • Proficiency with CI/CD tools such as GitLab CI/CD and Jenkins.
  • Experience with distributed data tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
  • Leadership experience with AI and ML engineers, researchers, and data scientists.
  • Developing innovative ML models, algorithms, and solutions for IAS.
  • Strong leadership, verbal and written communication skills.
  • Secret clearance.
  • Master’s degree in Computer Science (CS) or Electrical Engineering (EE).

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 at Booz Allen Hamilton

Grow With Us

We offer diverse ways to develop your career, including upskilling programs, tuition reimbursement, mentoring, and networking opportunities. Chart a unique and fulfilling career path on your own terms.

A Place Where You Belong

At Booz Allen Hamilton, diverse perspectives cultivate collective ingenuity. Our culture of respect, equity, and opportunity means you can bring your whole self to work, creating a strong community in no time.

Support Your Well-Being

Our comprehensive benefits package includes wellness programs, paid holidays, parental leave, a generous 401(k) match, and more. Flexible schedules and remote/hybrid locations further support a balanced, fulfilling life at work and home.

Candidate Journey

We value relationships most of all and provide resources to guide you through your journey as a candidate with Booz Allen Hamilton.

Compensation

At Booz Allen Hamilton, we celebrate your contributions and support your well-being with a complete benefits package. This includes health, life, disability, financial, and retirement benefits, along with paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards acknowledge exceptional performance. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). This estimate represents the typical salary range and is one component of Booz Allen’s total compensation package.

Work Model

Our people-first culture prioritizes flexibility and collaboration, whether in person or remotely. Depending on the role, you may work from a Boo