Principal Machine Learning Engineer at Microsoft
New York, NY 10075
About the Job
We are looking for a Principal 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.Required Qualifications: Bachelor's Degree in Computer Science, Engineering, Statistics, Mathematics, or related field AND 6+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, JavaOR equivalent experience.4+ years of industry experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics.2+ years of industry experience with common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or HuggingFace.2+ years of industry experience with building, debugging and optimizing large, high performance ML training jobs.Preferred Qualifications: Masters or Doctorate in Computer Science, Machine Learning, Statistics or equivalent technical field. Deep understanding of deep learning model architectures 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 environmentAbility 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 IC5 - The typical base pay range for this role across the U.S
is USD $137,600 - $267,000 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 $180,400 - $294,000 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 October 24, 2024.Microsoft is an equal opportunity employer
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.#ResearchYou'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 MS product teams, 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 culture and values.Employment typeFull-TimeWork siteUp to 50% work from homeRole typeIndividual ContributorDisciplineSoftware EngineeringProfessionSoftware Engineering
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.Required Qualifications: Bachelor's Degree in Computer Science, Engineering, Statistics, Mathematics, or related field AND 6+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, JavaOR equivalent experience.4+ years of industry experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics.2+ years of industry experience with common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or HuggingFace.2+ years of industry experience with building, debugging and optimizing large, high performance ML training jobs.Preferred Qualifications: Masters or Doctorate in Computer Science, Machine Learning, Statistics or equivalent technical field. Deep understanding of deep learning model architectures 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 environmentAbility 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 IC5 - The typical base pay range for this role across the U.S
is USD $137,600 - $267,000 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 $180,400 - $294,000 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 October 24, 2024.Microsoft is an equal opportunity employer
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.#ResearchYou'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 MS product teams, 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 culture and values.Employment typeFull-TimeWork siteUp to 50% work from homeRole typeIndividual ContributorDisciplineSoftware EngineeringProfessionSoftware Engineering
