Responsibilities
This is for a summer 2026 internship role in our Reston, VA office. This will be onsite 5 days a week. As an AI/ML Engineer Intern with our team, you will be working with our federal clients to rapidly develop innovative proof of concept, prototype, and enterprise solutions for our clients' immediate mission challenges. In your role, you may work on multiple projects with teams of other data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. As an AI/ML engineer you will be working closely with federal clients providing services to develop AI/ML models and weights to selected data to facilitate object detection, data triage, search/optimization, inference, facial recognition, behavior detection, and automated discovery and decision making, maintaining model versioning system and experience identifying new vulnerabilities in models.
On our team, you will:
- Identify, apply, and adapt the latest research methodologies and open-source solutions
- Develop and train new machine learning models
- Identify, curate, and process large data sets
- Research, apply, analyze, and document technical approaches and their outcomes
- Have opportunities to use various types of compute resources including on premises hardware and cloud resources
Required Qualifications
- A GPA of 3.3 or higher.
- U.S. citizenship
- Demonstrated analytical skills, strong written and oral communications, and collaboration skills.
- Must be actively pursuing an undergraduate or graduate degree with at least one semester remaining before graduation.
- All degrees must be in a STEM field such as computer science, statistics, data analytics, computer engineering, mathematics, and physics
- Ability to obtain and maintain a Top Secret with SCI and Polygraph
Desired Qualifications
- The ideal candidate has proficiency with major data science tools and languages such as Python, R, PostgreSQL/SQL, Spark, and Git
- Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data
- Familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus
Overview
Noblis and our wholly owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us
Why work at a Noblis company?Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace.
*Remote/hybrid status is subject to change based on Noblis and/or government requirements
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, 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, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range
USD $23.00 - USD $38.00 /Hr.
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