Applied Sciencist – Microsoft Frontier Tuning Job Overview

Applied Sciencist – Frontier Tuning (Microsoft)

Microsoft’s Frontier Tuning platform custom‑tunes foundation models for enterprise needs. The Applied Sciencist will drive algorithmic innovation and build scalable infrastructure for post‑training AI adaptation.

Job Overview

Role Summary

The Applied Sciencist will innovate on large‑scale model post‑training and adaptation, creating algorithms, infrastructure, and tooling that enable secure, enterprise‑ready AI solutions across Microsoft 365 and other products.

Key Responsibilities

• Design and implement methods to adapt foundation models (language, diffusion, multimodal) for enterprise tasks such as document understanding and workflow automation.
• Develop components of the post‑training stack, including reinforcement learning, parameter‑efficient adaptation, inference‑time steering, and evaluation tooling.
• Evaluate adaptation approaches under real‑world constraints (latency, safety, privacy, policy compliance, compute efficiency).
• Collaborate with research and engineering teams to translate product requirements into scalable solutions.
• Explore techniques that improve domain specialization, tool use, planning, or agentic behaviors in enterprise environments.
• Drive projects from concept to prototype, delivering new methods, system components, or empirical insights.
• Document approaches and share best practices across the organization.
• Mentor interns or early‑career team members as needed.

Qualifications & Eligibility

Required:

• Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field AND 2+ years relevant experience, or Master’s degree AND 1+ year experience, or Doctorate (or equivalent experience).
• Ability to pass Microsoft Cloud background check and any required government security screenings.

Preferred:

• Bachelor’s degree with 5+ years or Master’s degree with 3+ years of related experience (or Doctorate with 1+ year).
• 1+ year of publications (patents, peer‑reviewed papers).
• Experience contributing to open‑source systems or production deployments of foundation model training/adaptation.
• Hands‑on work with reinforcement learning, large‑scale ML training systems, AI evaluation/benchmarking, or enterprise AI deployment.
• 2+ years of Python development and experience with PyTorch or equivalent frameworks.

Desired Skills

• Strong systems‑building and software engineering abilities.
• Deep understanding of transformer architectures and efficient adaptation techniques (e.g., LoRA).
• Experience with RLHF/RLAIF pipelines or other post‑training methods.
• Ability to design evaluation and debugging tools for foundation models.
• Knowledge of multimodal model training (language, vision, diffusion).

Location & Work Mode

Based in Redmond, Washington, United States. The role requires three days per week on‑site; the remaining days can be remote as per Microsoft’s hybrid work policy.

Compensation

The typical base pay range for this role across the U.S. is $102,100 – $202,200 per year. In the San Francisco Bay Area and New York City metropolitan area, the range is $133,800 – $219,200 per year. Additional benefits and variable compensation may apply (see Microsoft corporate pay page).

How to Apply

1. Visit the official Microsoft job posting: Apply Now.
2. Sign in with your Microsoft or LinkedIn account.
3. Upload your resume and any supporting documents (e.g., publications, patents).
4. Complete the security questionnaire and submit the application.
5. The position remains open for a minimum of five days and will stay active until filled.

Apply Now

Frequently Asked Questions

What security screening is required?

Applicants must pass the Microsoft Cloud background check and any applicable government security screenings.

Is remote work allowed?

The role follows a hybrid model: three days per week on‑site in Redmond, with the remaining days flexible.

What is the travel expectation?

Travel is less than 25% of the time.

What education is required?

A bachelor’s, master’s, or doctorate in a relevant technical field, or equivalent experience, as outlined in the qualifications.

What is the salary range?

Base pay ranges from $102,100 to $202,200 annually nationwide, with higher ranges ($133,800 – $219,200) for San Francisco Bay Area and New York City locations.