Pre-Training

Microsoft

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$119,800–$234,700 / yr
Posted
21 days ago
Freshness
Confirmed live 2 days ago
Closes
Feb 17, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k
This role $177k
$99k most similar roles pay here $249k

This role pays more than 69% of similar roles. Most pay $113,902–$197,562 — the shaded band above. At the midpoint, this role pays about $177k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 586 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Pre-Training

Pre-Training joins the Superintelligence Team at Microsoft AI to develop foundational models that push the boundaries of deep learning at scale. In this role, you will develop algorithms, model architectures, data mixtures, and scaling laws using a rigorous data-driven approach grounded in meticulous ablations. You will drive algorithmic implementations, conduct experiments, and oversee flagship training runs on an in-house large-scale distributed stack while collaborating with infrastructure, data, post-training, and multimodality teams. The role requires proficiency in programming languages such as C, C++, C#, Java, JavaScript, or Python. Candidates must possess expertise in large-scale distributed systems and experience in large-scale AI. This position focuses on the technical challenge of creating ultra-capable systems that are controllable, safety-aligned, and anchored to human values within the domain of advanced conversational AI and foundational model development.

What you'll do

  • Develop algorithms, model architectures, and data mixtures for large-scale training.
  • Establish scaling laws using rigorous data-driven approaches and meticulous ablations.
  • Implement algorithms and conduct experiments on an in-house large-scale distributed stack.
  • Oversee flagship training runs for frontier AI models.
  • Coordinate with infrastructure, data, post-training, and multimodality teams.
  • Ensure AI systems remain controllable, safety-aligned, and anchored to human values.

What we're looking for

  • Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical discipline (or equivalent experience).
  • 4+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python.
  • Experience and/or in-depth understanding of large-scale distributed systems.
  • Proven expertise in research areas evidenced by an exceptional publication track record and significant technical leadership in high-impact projects.
  • Demonstrated experience in large-scale AI (preferred).
  • Passionate about conversational AI and its deployment (preferred).
  • Strong written and verbal communication skills to work with cross-functional teams (preferred).
  • Ability to collaborate in a fast-paced environment and contribute to an inclusive work culture (preferred).

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