AI Product Engineer — Build AI Features for SaaS (Remote)

Seerist, Inc.; Reston (VA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health plan

Dental plan

Vision plan

Life insurance

401(k) matching

Bonus plan

Long term incentives

Hybrid work (3+ days in Reston)

Paid Time Off

Paid Parental Leave

Tuition Reimbursement

Professional Development Stipend

Job summary

Seerist, Inc. is hiring a data science/ML engineer to contribute to product development and ML features in a fast-moving SaaS environment. The role emphasizes collaboration, curiosity, and clear communication with stakeholders. Hybrid work options are available with Reston office days.

The ideal candidate has a background in CS/DS/Math and 3+ years shipping ML features in a product context, with a willingness to tackle evolving scope in a startup setting.

Qualifications

• 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 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.

Skills

Collaboration

Communication

Curiosity

Education

Bachelor's degree in CS/DS/Math

Job description

Seerist, Inc. is hiring a data science/ML engineer to contribute to product development and ML features in a fast-moving SaaS environment. The role emphasizes collaboration, curiosity, and clear communication with stakeholders. Hybrid work options are available with Reston office days.

The ideal candidate has a background in CS/DS/Math and 3+ years shipping ML features in a product context, with a willingness to tackle evolving scope in a startup setting.