Member Of Technical Staff Data Scientist (AI)

TL;DR

Member of Technical Staff – Data Scientist (AI/LLM): Building and optimizing post-training methods for frontier models with an accent on evaluation design, high-quality training data, and scalable data pipelines. Focus on turning raw model capability into reliable, aligned, and measurable performance improvements and shaping real-world model behavior.

Location: Must be based in New York, United States

Salary: USD $158,400 – $258,000 (IC4, New York City) and USD $188,000 – $304,200 (IC5, New York City)

Company

hirify.global is building the next generation of frontier models that power Copilot and other large-scale AI experiences, aiming to create AI that amplifies human potential while ensuring humanity remains firmly in control.

What you will do

• Design evaluations of advanced model capabilities and use them to drive rapid, high-signal iteration loops.
• Produce high quality evaluation and training data, working with vendors and building data pipelines.
• Build data flywheels to hill-climb on model weaknesses, using data from various model deployment surfaces.
• Ensure optimal quality, quantity and coverage of data across all post-training stages.
• Run post-training experiments and ablations to produce models that climb evaluations.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience.
• Proficiency in coding languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Deep experience with LLMs, either training them or applying them in production.
• Developed 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 with clear written and verbal communication.

Nice to have

• Demonstrated SOTA results in any area of large-scale training, inference, or evaluation.

Culture & Benefits

• Join a small, high-impact, highly autonomous team.
• Work closely with pre-training, product, and engineering partners.
• Own meaningful parts of the post-training pipeline with direct access to compute, data, and decision-making.
• Be part of a startup-like team inside hirify.global, pushing the boundaries of AI toward Humanist Superintelligence.
• Opportunity to deliver breakthroughs that benefit society and reach billions of users.
• Microsoft is an equal opportunity employer.