Location: El Segundo, CA
We need your technical expertise to support a diverse set of clients to include the Department of Defense (Do D) and Civilian clients. As the senior machine learning engineer on our team, you’ll lead efforts to train, test, deploy, and maintain models that learn from data.
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 machine learning engineers across the firm and collaborate with data engineers, data scientists, data visualization developers, data architects, product owners and mission experts. You will be a senior member of a team delivering world class enterprise
solutions to implement Artificial Intelligence, Automation, and data Augmentation (AAA) and cloud strategies across the Do D enterprise and civilian agencies of the U.
S. federal government. This role will also include applying advanced consulting or extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. 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 , 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: 7+ years of experience with artificial intelligence data science, machine learning engineering, or data analytics 2+ years of experience with implementing, testing, and fielding automation, artificial intelligence, and machine learning solutions 2+ years of experience deploying machine learning solutions into production using tools like Docker, Git Hub Actions or Git Lab CI/CD Pipeline 2+ years of experience using Spark and other technologies associated with efficiently processing Big Data Experience with software and artificial intelligence projects Experience with project work in deep learning, computer vision, NLP, or signal processing Knowledge of modern software design patterns, including microservice design or edge computing Knowledge programming language such as Python, Scala, or Java Ability to obtain a security clearance Bachelor's degree in Data Science, Computer Science, or Statistics Nice If You Have: Experience with space-based or autonomous systems Experience working with Department of Defense Experience in embedded systems programming in C/C++ Experience with GPU-programming, such as CUDA, RAPIDs, or similar Experience with modern cloud computing technologies, including Kubernetes Experience with deploying applications in a Cloud environment, including AWS or Azure Ability to gather requirements from customers and lead Agile teams Top Secret Clearance Amazon Certified Solutions Architect or AWS Certified Machine Learning Specialty Certification Clearance: 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.
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 build 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. Compensation 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 $121,200.00 to $275,000.00 (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. Work Model 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. EEO Commitment We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, interaction (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, interactionual 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.
For more details: jobs-search. org/finance_el-segundo-c426135/machine-learning-engineer-lead-security-clearance-required-el-segundo_i1971125210
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining structures, machines, and systems. These roles often require a strong foundation in math and science, as well as specialized knowledge in disciplines such as civil, mechanical, electrical, or software engineering. Key features of these jobs include solving technical problems, innovating solutions, and improving functionality and efficiency. Engineers typically work in collaborative environments, bridging theoretical concepts with practical applications to advance technology and infrastructure.
Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
