Senior Machine Learning Engineer
Job Summary
Job Description
- 4+ years ML experience
- Proficiency in Python, PyTorch, TensorFlow
- Building high-performance ML training jobs
- Experience with common ML platforms
- Bachelor's degree in related field
- Deep understanding of deep learning models
- Experience with CUDA, Triton, DirectML
- Experience with LLMs
- Experience with ML infrastructure
- Experience with CI/CD pipelines
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Networking opportunities
15 skills required
Job Details
Overview
We are looking for a Senior Machine Learning Engineer with analytical and developer skills to join our team to develop industry leading machine learning solutions. Successful candidates will have several years of experience designing, training and tuning machine learning (ML) models and their supporting infrastructure. A large part of the role will be spent incubating new ideas with researchers and working with product team engineers and/or partners who leverage the research. As a result, candidates should be comfortable learning new approaches and pushing the boundaries of current conventions while applying sound engineering principles.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science, Engineering, Statistics, Mathematics, or related field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or Java
- OR equivalent experience.
- 4+ years of industry or academic experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics.
- 2+ years of industry or academic experience with common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or HuggingFace.
- 2+ years of industry or academic experience with building, debugging and optimizing large, high performance ML training jobs.
Preferred Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Deep understanding of deep learning model architectures.
- Experience working in or with a commercial software product team.
- Experience with low-level, high performance ML frameworks such as CUDA, Triton, DirectML or similar frameworks
- Experience with large language models (LLM) architectures, inference and fine-tuning
- Experience with using and supporting ML infrastructure including job schedulers, big data storage, low latency interconnects and large clusters of GPUs
- Experience working in an academic research environment and communicating effectively withing such an environment
- Ability to engineer industry solutions and achieve/maintain target service level agreements
- Ability to work independently and ramp-up quickly on complex, unfamiliar code
- Experience with engineering practices, continuous integration and continuous delivery/continuous deployment (CI/CD) pipelines and Git
- Experience contributing and/or maintaining open-source projects
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications for the role until February 2, 2025.
#Research
Responsibilities
- You'll be a member of a cross-disciplinary team of engineers, data scientists and researchers working in a research-oriented environment.
- You’ll partner with researchers to quickly learn, implement and evolve novel ML algorithms and approaches.
- You’ll interact with Microsoft product teams, Microsoft Research (MSR) partners and open-source communities to bring research implementations to broader audiences.
- You’ll engineer complex, high performant, efficient ML training jobs using well-known and cutting-edge tools and frameworks.
- You’ll reduce ML infrastructure complexities across research. projects by simplifying onboarding, debugging infrastructures issues, scaling training jobs while maintaining high Graphics Processing Unit (GPU) utilization, contributing to open-source tooling/frameworks and keeping ML infrastructure documentation simple and up to date.
Embody our and .
Similar Jobs
Axon
Intel Corporation
Magic Leap
Thumbtack
Zoox
Zoox
Get notifed when new similar jobs are uploaded
Similar Skill Jobs
Meta
The Walt Disney Company
Keywords Studios (Player Support)
Microsoft
Salesforce
ByteDance
Get notifed when new similar jobs are uploaded
Jobs in New York, New York, United States
ByteDance
Twitch
Next Level Business Services
Zoox
Next Level Business Services
Netflix
Get notifed when new similar jobs are uploaded
Artificial Intelligence Jobs
Meta
ByteDance
Meta
Meta
Meta
Get notifed when new similar jobs are uploaded
About The Company
Get notified when new jobs are added by Microsoft
