Machine Learning Integration and Optimization Systems Engineer

Machine Learning Integration and Optimization Systems Engineer

The Opportunity:

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in national security? You understand your customer’s environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution.

Join us. The world can’t wait. 

You Have:

• Experience with machine learning integration and optimization
• Experience using Linux
• Top Secret clearance
• Bachelor’s degree in System Engineering, CS, Information Systems, Engineering Science, or Engineering Management and 14+ years of experience as a Systems Engineer, or 19+ years of experience as a Systems Engineer in lieu of a degree

Nice If You Have:

• Experience testing machine learning models
• Experience with Yolo and Python
• Experience with protocol analyzers such as Wireshark
• Experience with scripting languages to process automation
• Experience installing, monitoring, and optimizing Kubernetes clusters
• Knowledge of SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSI Model, and Computer to Computer (C2C) structure, or technologies or protocols such as MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, Cisco, Nortel, TCP, UDP, VCAT, VOIP, VoFR and voice or video encoding
• Completion of the Advanced Communications Signals Analysis Course and Intermediate Communications Signals Analysis Course

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.  

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 $99,000.00 to $225,000.00 (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 Statement

As 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 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.

Commitment To Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.