Applied Researcher / Research Scientist (AI)

Location: On-site in San Francisco, USA, with Wednesdays working from home.

Salary: $220,000–$300,000 per year, plus equity.

Company

hirify.global is building an AI-powered CRM that develops a world model of a business from emails, meetings, and customer conversations.

What you will do

• Lead research projects in evaluation, benchmarks, deal prediction, simulation, and self-improvement.
• Design empirical evaluations using LLM-as-judge, rubric-based grading, offline replay, and A/B tests across production and offline data.
• Build benchmarks for GTM tasks including list building, CSV imports, mail intelligence, record updates, and outbound, comparing results with frontier models and competitors.
• Build simulated companies with users and streams of email, meetings, and knowledge to evaluate the full system end to end.
• Develop reinforcement learning and fine-tuning techniques, model deal probability, and improve AI system cost and quality trade-offs.
• Publish research and help build the research team through recruiting and mentoring.

Requirements

• 7+ years of applied research experience in ML or NLP in industry or academia.
• PhD or MS in Computer Science, Machine Learning, or a related field, or equivalent research experience.
• Track record of research that shipped or was published, including papers, open-source models, datasets, or benchmarks.
• Deep hands-on experience with LLMs, including evaluation, agent design, and retrieval.
• Strong experimental design skills and the ability to distinguish real improvements from noise.
• Strong Python skills and comfort working in a production codebase with TypeScript, Node.js, and PostgreSQL.
• Ability to independently drive ambiguous problems while balancing ambitious goals with frequent, visible results.
• Clear communication with technical and non-technical audiences in writing and presentations.
• Interest in building AI systems that businesses depend on for their work.

Nice to have

• Post-training experience with SFT, RL, or preference optimization.
• Experience building simulations, synthetic data, or RL environments.
• Experience with forecasting or predictive modeling on business data.
• Experience creating benchmarks adopted by others.

Culture & Benefits

• Meaningful early equity and competitive salary.
• Medical, dental, and vision insurance.
• Three weeks of PTO, 11 paid company holidays, and a winter holiday break.
• Three months of paid family leave and a 401(k) plan.
• Regular team dinners, events, offsites, and retreats.
• Commuter and lunch stipends.