TL;DR

Member Of Technical Staff – Data Scientist (AI): Building and optimizing the next generation of post-training methods for frontier AI models, with an accent on evaluation design, high-quality training data, and scalable data pipelines for state-of-the-art foundation models. Focus on transforming raw model capability into reliable, aligned, and measurable performance improvements, directly shaping how frontier models behave in real-world deployments.

Location: Onsite in Redmond, United States

Salary: USD $119,800 – $304,200 per year

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 for advanced model capabilities and use them to drive rapid, high-signal iteration loops.
Work with vendors to produce high-quality evaluation and training data and build data pipelines for these.
Build data flywheels to identify and improve model weaknesses, using data from various 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 meet evaluation targets.

Requirements

Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python (for IC4 level).
Master’s Degree with 6+ years or Bachelor’s Degree with 8+ years technical engineering experience is preferred (for IC5 level).
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 working across all stages of post-training.
Work closely with pre-training, product, and engineering partners for rapid iteration on ideas.
Direct access to compute, data, and decision-making needed to move quickly from insight to production.
Part of %hirify_global%’s Superintelligence Team, pushing boundaries towards Humanist Superintelligence.
Opportunity to partner with incredible product teams, reaching billions of users.