Machine Learning Intern

McLean, Virginia

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Posted 1 month ago

Join our team dedicated to developing and executing innovative solutions in support of customer mission success.

Job Description: 

Novetta is seeking Interns to research, design, and develop innovative machine learning solutions for internal and external customers. Our interns work on significant projects in fields such as NLP, computer vision, IoT, and cyber security. Interns have opportunities to demo to senior Novetta leadership, author Novetta blog posts, and undertake speaking engagements at prestigious conferences.

We’re looking for students who are ready to learn and want to make an impact. If that sounds appealing to you - we’d love to chat.

Responsibilities:

  • Contribute to projects spanning multiple subject areas, from NLP to Cloud to Image and Video Analysis
  • Learn about state-of-the-art machine learning techniques, methods, and platforms, with a focus on open source software
  • Implement, configure, and test machine learning and deep learning libraries and platforms (e.g. TensorFlow, PyTorch, fast.ai)
  • Become familiar with and utilize elements of the Amazon Web Services (AWS) ecosystem
  • Write blog posts and presentations that clearly communicate complex machine learning concepts to both technical and non-technical audiences
  • Contribute to modern, web-enabled prototype applications that illustrate relevant machine learning capabilities

Basic Qualifications:

  • High levels of curiosity, creativity, and problem solving capabilities
  • Experience (or coursework) with Python, R, Java, or other programming languages
  • Experience (or coursework) with machine learning, computer science, or statistics
  • Ability to work both independently and collaboratively
  • Strong written and verbal communication skills
  • Applicants must be eligible for US security clearance;​ all clearances require US citizenship

Desired Qualifications:

  • Research experience in Machine Learning specific to Natural Language Processing, Computer Vision, or deep learning
  • Experience with cloud platforms such as AWS
  • Experience with containerization (Docker and Kubernetes)

Security Clearance:

  • Applicants must be eligible for US security clearance;​ all clearances require US citizenship

Novetta, from complexity to clarity.

Novetta delivers highly scalable advanced analytics and secure technology solutions to address challenges of national and global significance. Focused on mission success, Novetta pioneers disruptive technologies in machine learning, data analytics, full-spectrum cyber, cloud engineering, open source analytics, and multi-INT fusion for Defense, Intelligence Community, and Federal Law Enforcement customers. Novetta is headquartered in McLean, VA with over 1,000 employees across the U.S.

Our culture is shaped by a commitment to our core values:

Integrity • We hold ourselves accountable to the highest standards of integrity and ethics.

Customer Success • We strive daily to exceed expectations and achieve customer mission success.

Employee Focus • We invest in our employees’ professional development and training, respecting individuality and fostering a culture of diversity and inclusion.

Innovation • We know that discovering new and innovative ways to solve problems is critical to our success and makes us a great company.

Excellence in Execution • We take pride in flawless execution as we build a company that is best in class.

Earn a REFERRAL BONUS for the qualified people you know. 

For more details, or to submit a referral: bit.ly/NovettaReferrals 

 

Novetta is an equal opportunity/affirmative action employer.

All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job tags: AI AWS Computer Vision Data Analytics Deep Learning Engineering Java Kubernetes Machine Learning NLP Open Source Python PyTorch R Research Security TensorFlow