Member Of Technical Staff, Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Building and optimizing next-generation post-training methods for frontier AI models with an accent on evaluation design, high-quality training data, and scalable data pipelines. Focus on transforming raw model capabilities into reliable, aligned, and measurable performance improvements, and driving rapid iteration loops for advancing model capabilities.

Location: Mountain View, United States

Salary: USD $188,000 – $304,200 per year (San Francisco Bay Area / New York City metropolitan area); USD $139,900 – $274,800 per year (typical U.S. base pay)

Company

hirify.global's Superintelligence Team is a startup-like team within hirify.global, focused on pushing the boundaries of AI towards Humanist Superintelligence by creating ultra-capable, safety-aligned systems that amplify human potential.

What you will do

• Design evaluations for advanced model capabilities to drive rapid, high-signal iteration.
• Collaborate with vendors to produce high-quality evaluation and training data.
• Build data pipelines to generate and curate high-quality evaluation and training data.
• Develop data flywheels to address model weaknesses using insights from various deployment surfaces.
• Ensure optimal quality, quantity, and coverage of data across all post-training stages.
• Run post-training experiments and ablations to achieve model improvements based on evaluations.

Requirements

• 4+ years of technical engineering experience (6+ for Master's, 8+ for Bachelor's in preferred qualifications) with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• Deep experience with LLMs, including training them or applying them in production.
• Proven experience developing production-scale data pipelines for synthesizing, curating, or processing large quantities of data.
• Ability to design, run, and interpret large-scale ML experiments with careful statistical and empirical reasoning.
• Strong generalist engineering and mathematical skills.
• Clear written and verbal communication skills, with the ability to collaborate effectively across disciplines.

Culture & Benefits

• Join a small, highly autonomous team with significant impact potential.
• Work across all stages of post-training, directly shaping how frontier models behave.
• Opportunity to own meaningful parts of the post-training pipeline with direct access to compute, data, and decision-making.
• Collaborate closely with pre-training, product, and engineering partners.
• Contribute to advancing AI towards Humanist Superintelligence, aiming for breakthroughs that benefit society.
• Work on models that reach billions of users and create immense positive impact.