AI Product Engineer

Careers
· Machine Learning
· Hybrid Reston, Virginia

Agency. You don't wait for a perfectly scoped ticket. You hear a fuzzy idea, ask the right questions, and start moving.

Collaborative challenge. You push back thoughtfully when something doesn't make sense, and you welcome the same in return. The process of building is a conversation, not a handoff.

Intellectual curiosity. You're always learning, reading papers, trying new tools, exploring adjacent domains, and you naturally connect what you're learning to what the team is building.

Communication. You can explain complex technical concepts clearly to non-technical stakeholders, write well, and keep people in the loop without being asked.

At least a Bachelor's degree in a relevant field (computer science, data science, mathematics, or similar).Exceptional written and verbal communication skills, demonstrated through academic and professional experience.
3+ years of professional experience in a role combining data science, ML engineering, or AI product development.

Experience shipping ML/AI features in a product context (not just notebooks and research).Nice to Have Familiarity with the threat intelligence, geopolitical risk, or security domain.

Experience working in a startup or growth-stage environment where scope is fluid.

Exposure to event-driven architectures or real-time data processing.

Opportunity to work in a fast-moving, high-growth SaaS company

Competitive salary, bonus plan, 401(k) matching, and long term incentives

Comprehensive benefits including health, dental, vision, and life plans

Strong, results oriented culture

Remote and office-based work (3+ days in Reston office each week)
Paid Time Off Paid Parental Leave (16 Weeks Primary, 4 Weeks Secondary)
Tuition Reimbursement Professional Development Stipend

Seerist is an equal opportunity employer. Seerist does not discriminate on the basis of race, religion, color, sex, sexual orientation, gender identity, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.