Machine Learning Software Engineer, Senior at Booz Allen Hamilton
Arlington, VA 22201
About the Job
Machine Learning Software Engineer, SeniorThe Opportunity:Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning (ML) is critical to understanding and processing massive datasets
We need your technical expertise to support federal healthcare.As a machine learning engineer, you’ll train, test, deploy, and maintain models that learn from data
Your ability to conduct statistical analyses on business processes using ML techniques is key and makes you an integral part of delivering a customer-focused solution
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 ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to deliver mentorship, training, and solutions to real world problems, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
If you have the drive to solve real-world challenges and define ML strategy for healthcare in the federal government, there’s a place for you here
At Booz Allen, you’ll make a difference with us, and in return, we’ll invest in your future.Join us
The world can’t wait.You Have:5+ years of experience with data science, ML engineering, software engineering, or postdoctoral research for MLExperience with natural language processing, computer vision, transformers, or large language models (LLM)Experience with ML, including linear, reinforcement learning, tree based, neural networks, or deep learning-based methods and regularization approaches for eachExperience with deploying ML models or neural networks into a production environmentExperience with programming in Python, Java, or C++Experience with databases, including SQL or PostgreSQLSecret clearanceBachelor's degree in Computer Science or EngineeringNice If You Have:Experience with developing software architectures with containerization tools, including Docker and KubernetesExperience with RAG frameworkExperience with software development, including API development or database management, and model deployment and usage with JavaScript frameworks, including React, Angular, or Node.jsKnowledge of AWS, Azure, and GCPAbility to work in a Linux environment with bash scriptingMaster's degreeClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;Secret clearance is required.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.SummaryLocation: Washington, DC; Arlington, VAType: Full time
We need your technical expertise to support federal healthcare.As a machine learning engineer, you’ll train, test, deploy, and maintain models that learn from data
Your ability to conduct statistical analyses on business processes using ML techniques is key and makes you an integral part of delivering a customer-focused solution
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 ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to deliver mentorship, training, and solutions to real world problems, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
If you have the drive to solve real-world challenges and define ML strategy for healthcare in the federal government, there’s a place for you here
At Booz Allen, you’ll make a difference with us, and in return, we’ll invest in your future.Join us
The world can’t wait.You Have:5+ years of experience with data science, ML engineering, software engineering, or postdoctoral research for MLExperience with natural language processing, computer vision, transformers, or large language models (LLM)Experience with ML, including linear, reinforcement learning, tree based, neural networks, or deep learning-based methods and regularization approaches for eachExperience with deploying ML models or neural networks into a production environmentExperience with programming in Python, Java, or C++Experience with databases, including SQL or PostgreSQLSecret clearanceBachelor's degree in Computer Science or EngineeringNice If You Have:Experience with developing software architectures with containerization tools, including Docker and KubernetesExperience with RAG frameworkExperience with software development, including API development or database management, and model deployment and usage with JavaScript frameworks, including React, Angular, or Node.jsKnowledge of AWS, Azure, and GCPAbility to work in a Linux environment with bash scriptingMaster's degreeClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;Secret clearance is required.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.SummaryLocation: Washington, DC; Arlington, VAType: Full time
