AI and ML Research and Development Technologist, Senior at Booz Allen Hamilton
Washington, DC 20001
About the Job
AI and ML Research and Development Technologist, SeniorThe Opportunity: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 a customer-focused solution.
We need your technical knowledge and desire to problem-solve to support clients.We are seeking a highly skilled and experienced artificial intelligence (AI) and ML research and development (R&D) Lead Technologist with a background in integrating AI and ML into the framework of Intelligent Autonomous Systems (IAS).
The ideal candidate will help build and lead an R&D team in developing and integrating cutting-edge AI and ML technologies into autonomous systems.
In this role, you will be responsible for leading the design and development of advanced algorithms and software solutions that enable the effective operation of trusted autonomous systems.
You will conduct experiments to explore new AI and ML technologies and collaborate with cross-functional teams, including hardware engineers, system engineers, and product managers to ensure the successful integration of these technologies into the IAS development pipeline.
You will also help develop Test, Evaluation, Verification, and Validation (TEV&V) procedures and techniques for IAS.Work with us to solve real-world challenges and define ML strategy for our key DoD clients.Join us.
The world can’t wait. You Have:Experience in AI or ML research and development, with a focus on autonomous systemsExperience with ML, computer vision, and deep learning algorithmsExperience with programming languages, including Python, C++, or JavaAbility to develop innovative ML models and algorithms and solutions to improve the performance of IASAbility to present research findings and recommendations to clients and executive leadershipAbility to build collaboration partnerships with industry and academic institutionsAbility to identify opportunities for innovation by keeping up with the latest developments in AI and ML technologies and autonomous systems technologiesAbility to obtain a Secret clearanceBachelor's degree in Computer Science or Electrical EngineeringNice If You Have:Experience with DevOps tooling, pipelines, and building containerized applications to run in a Kubernetes environment Experience with CI/CD principles, methodologies, and tools, including GitLab CI/CD and Jenkins Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or KafkaExperience leading a team of AI and ML engineers, researchers, and data scientists to develop and deploy advanced AI and ML technologies in autonomous systemsPossession of strong communication and leadership skillsPossession of strong R&D proposal writing and organization skillsSecret clearanceMaster's degree in Computer Science or Electrical EngineeringClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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 StatementAs 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 ModelOur 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.EEO CommitmentWe’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.ID13-GSummaryLocation: Washington, DCType: Full time
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 clients.We are seeking a highly skilled and experienced artificial intelligence (AI) and ML research and development (R&D) Lead Technologist with a background in integrating AI and ML into the framework of Intelligent Autonomous Systems (IAS).
The ideal candidate will help build and lead an R&D team in developing and integrating cutting-edge AI and ML technologies into autonomous systems.
In this role, you will be responsible for leading the design and development of advanced algorithms and software solutions that enable the effective operation of trusted autonomous systems.
You will conduct experiments to explore new AI and ML technologies and collaborate with cross-functional teams, including hardware engineers, system engineers, and product managers to ensure the successful integration of these technologies into the IAS development pipeline.
You will also help develop Test, Evaluation, Verification, and Validation (TEV&V) procedures and techniques for IAS.Work with us to solve real-world challenges and define ML strategy for our key DoD clients.Join us.
The world can’t wait. You Have:Experience in AI or ML research and development, with a focus on autonomous systemsExperience with ML, computer vision, and deep learning algorithmsExperience with programming languages, including Python, C++, or JavaAbility to develop innovative ML models and algorithms and solutions to improve the performance of IASAbility to present research findings and recommendations to clients and executive leadershipAbility to build collaboration partnerships with industry and academic institutionsAbility to identify opportunities for innovation by keeping up with the latest developments in AI and ML technologies and autonomous systems technologiesAbility to obtain a Secret clearanceBachelor's degree in Computer Science or Electrical EngineeringNice If You Have:Experience with DevOps tooling, pipelines, and building containerized applications to run in a Kubernetes environment Experience with CI/CD principles, methodologies, and tools, including GitLab CI/CD and Jenkins Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or KafkaExperience leading a team of AI and ML engineers, researchers, and data scientists to develop and deploy advanced AI and ML technologies in autonomous systemsPossession of strong communication and leadership skillsPossession of strong R&D proposal writing and organization skillsSecret clearanceMaster's degree in Computer Science or Electrical EngineeringClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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 StatementAs 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 ModelOur 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.EEO CommitmentWe’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.ID13-GSummaryLocation: Washington, DCType: Full time