Machine Learning - Research Engineer - Python, Statistic Analysis
Erias VenturesRole Overview
Erias Ventures is hiring a mid-level Machine Learning - Research Engineer - Python, Statistic Analysis. This is a full-time role in Annapolis Junction. Part of Erias Ventures's Devops hiring, posted 4 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Mid-level Devops roles is $120k-$160k (based on 55 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
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.
Description
We're seeking a Research 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.
- Develop evaluation methodologies and experimental designs for assessing model and agent performance, including capability, reliability, and limitation analyses.
- Conduct reviews of current state-of-the-art AI/ML evaluation methods and emerging techniques to inform approach selection.
- Define and document evaluation criteria, success metrics, and assessment rationale in partnership with the Data Scientists.
- Assess candidate models and agentic systems and produce written technical findings and recommendations.
- Author technical reports, evaluation plans, and decision-support documentation for stakeholders.
Clearance
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.
Experience
Six years' experience and a Bachelor’s degree in Engineering, Computer Science or other Science, Technology, Engineering or Mathematics (STEM) field or four years' experience and a Master's degree or zero years' experience and a PhD.
Required Skills
- Python
- FastAPI
- JavaScript / TypeScript
- React
- Docker
- Kubernetes
- Git
- CI/CD tools
- REST APIs
- MongoDB
- Cloud platforms or deployment environments
- Testing frameworks
- Collaboration tools like Jira or Confluence
Benefits
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.
Wealth Benefits
- 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
Health Benefits:
- 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
Happiness Benefits:
- 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.
Referrals & Inquiries
Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire.
Not seeing the right position right now? Reach out to us, and we’ll notify you as new contracts and opportunities become available!
Please Send Referrals And Inquiries To
jobs@eriasventures.com
To learn more about our company visit our webpage or LinkedIn.
About Erias Ventures
Erias Ventures
eriasventures.com
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Frequently Asked Questions
How do I apply for the Machine Learning - Research Engineer - Python, Statistic Analysis position at Erias Ventures?
Use the Apply button above to submit your application directly to Erias Ventures. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Machine Learning - Research Engineer - Python, Statistic Analysis position at Erias Ventures located?
This position is based in Annapolis Junction. Erias Ventures has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Machine Learning - Research Engineer - Python, Statistic Analysis at Erias Ventures earn?
Erias Ventures has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Machine Learning - Research Engineer - Python, Statistic Analysis role at Erias Ventures posted?
This role was posted on July 18, 2026 (4 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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