Machine Learning Software Engineer Intern Jobs in Washington

Annapolis Junction, MD

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas. Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

We're seeking a Software Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery.

• Productionize ML Research: Transform research code and prototypes from our ML team into reliable, scalable solutions ready for end-user deployment
• Build Diverse Solutions: Develop applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or GoLang
• Own the Delivery Pipeline: Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production
• Deploy ML Infrastructure: Configure and optimize containers using NVIDIA Triton Inference Server for high-performance inference
• Performance Engineering: Profile, tune, and optimize solutions for production workloads
• Documentation & Best Practices: Create comprehensive user documentation and establish deployment best practices
• Collaborate Cross-Functionally: Work directly with end users to understand requirements and with researchers to align development with real-world needs

This job also offers telework once the candidate is familiar with the environment

A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Seven (7) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required. Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.

• Experience with Typescript, JavaScript, CSS, Vue, React, Vite, Node, NPM, Git
• Experience with video playback technologies (e.g. HTML5 video, Vidstack, video.js, HLS, DASH) nice but optional.

Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $210,000 - $230,000.

• Above Market Hourly Pay
• 11% Roth or Traditional 401k with Immediate Vesting and Deposit
• Spot Bonuses for Assisting with Business Development and Company Growth
• Professional Development Bonuses for Certificates and Degrees

• Company subsidized Medical Coverage
• 100% Company Paid Vision and Dental Coverage
• 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
• Monthly Wellness Reimbursement

• Paid Time Off with Flexible Work Schedules and Birthday Off
• Amazon Prime Membership and Monthly Internet Reimbursement
• Technology and Productivity Allowance for Equipment and Supplies
• Morale Building and Company Events to Celebrate our Successes and Build our Community
• Onboarding and Annual Swag
• Company Paid Professional Development and Training

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.