Applied AI Scientist

Raydar•San Francisco, CA

17h•$170,000 - $300,000•Onsite

About The Position

Our client is a Series B AI company training custom frontier models to solve prediction and optimization problems for enterprise supply chains. The company has raised $60 million and is expanding its Applied AI function as customer demand grows. As an Applied AI Scientist, you will be a trusted technical partner from the first customer demo through enterprise deployment. You will combine hands-on data science with clear communication to turn operational data into measurable business value. You will work directly with customers through evaluations, pilots, and implementations, support active deployments, and help build the Applied AI team. This is a full-time, onsite role based in San Francisco, five days per week. Candidates must be able to work onsite without relocation support. Visa transfers may be supported, including H1B transfers and OPT, on a case-by-case basis. The annual base salary is $170,000–$300,000; the role does not offer equity.

Requirements

3–8 years of experience in data science, forward deployed engineering, or solutions architecture.
Customer-facing experience managing enterprise deployments, pilots, demos, or operational data challenges.
Ability to build custom demos and proofs of concept in Python and SQL.
Strong machine learning and data science fundamentals, including experience selling a product that requires an understanding of machine learning.
Experience at ML platforms, early-stage startups, or leading consulting firms.
Bachelor’s degree in a STEM or quantitative field.
Ability to lead demos that resonate with both technical and non-technical stakeholders.
Ability to work onsite in San Francisco five days per week without relocation support.

Nice To Haves

Hands-on builder mindset and comfort learning unfamiliar technologies.
Experience with retail, consumer products, or supply chain data.

Responsibilities

Understand customer operational challenges and communicate them to technical and business stakeholders.
Lead technical and value-focused demonstrations and build custom prototypes and proofs of concept.
Analyze customer data using Python and SQL to quantify business impact.
Partner with customers during evaluations, pilots, and implementations.
Support active deployments and help build the Applied AI team.