Senior Machine Learning Engineer

Location: NYC-based, hybrid (3-4 days/week)

Cash Compensation on offer: $200,000-$300,000

Overview of Company

Primis is partnered with a well-funded scale-up, who are building AI-driven workflows for a space that's complex, regulated, and overdue for innovation. They'retackling a very real problem. It's not "AI for AI's sake", they're building systems that people use daily, with humans-in-the-loop, compliance requirements, and clear business impact.

Key Responsibilities

• Design and build scalable ML systems end-to-end
• Partner closely with product, engineering, and domain experts
• Develop ML-backed workflows that combine automation with human-in-the-loop validation
• Help shape early agentic architectures (no prior agent experience required)
• Mentor senior engineers and raise the technical bar across the team

Experience and Attributes

• 5-10+ years experience building ML systems in production
• Strong Python and systems design skills
• Experience scaling ML platforms or pipelines
• Comfort working in AWS environments (Terraform a plus)
• Collaborative, low-ego communicator who enjoys technical debate done respectfully

Nice to Have

• Graph data, vector databases, or RAG pipelines
• Background in industrial, or regulated domains
• Experience in SOC-compliant or enterprise environments

Our Commitment to Inclusive Hiring

Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don't worry if you don't tick every single box. We'd still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs.