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Microsoft Machine Learning Jobs (NOW HIRING)

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.

We are seeking a Principal Machine Learning Engineer to accelerate our training of generative ... At Microsoft, our mission-to empower every person and every organization on the planet to achieve ...

Machine Learning Engineer

Detroit, MI · On-site +1

$107K - $241K/yr

As a Machine Learning Engineer, you will design and develop the platforms and frameworks that ... Proficiency in the Microsoft Office suite * Strong object-oriented programming skills, including ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Microsoft Azure services. System One, and its subsidiaries including Joulé and Mountain Ltd., are ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Microsoft Azure services. System One, and its subsidiaries including Joulé and Mountain Ltd., are ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Microsoft Azure services. System One, and its subsidiaries including Joulé and Mountain Ltd., are ...

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Microsoft Machine Learning information

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$25.5K

$42.6K

$88K

How much do microsoft machine learning jobs pay per year?

As of Jul 12, 2026, the average yearly pay for microsoft machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Microsoft Machine Learning Engineer, and why are they important?

To thrive as a Microsoft Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience in machine learning model development. Proficiency with tools such as Azure Machine Learning, Python, TensorFlow or PyTorch, and familiarity with cloud computing platforms is expected, along with certifications like Microsoft Certified: Azure AI Engineer Associate. Strong problem-solving skills, collaboration, and effective communication are crucial soft skills for successful project delivery and stakeholder engagement. These skills and qualities are vital for developing robust, scalable ML solutions that meet business objectives in dynamic environments.

What types of projects do Microsoft Machine Learning engineers typically work on, and how does collaboration with other teams factor into their daily responsibilities?

Microsoft Machine Learning engineers often work on projects involving large-scale data analysis, building predictive models, and developing AI-powered features for Microsoft products and services. Collaboration is a key part of the role; engineers frequently partner with data scientists, software developers, and product managers to align machine learning solutions with business objectives and user needs. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a collaborative and innovative work environment. This teamwork not only enhances project outcomes but also provides valuable learning opportunities across different disciplines.

What is a Microsoft Machine Learning Engineer?

A Microsoft Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models using Microsoft technologies such as Azure Machine Learning, Python, and various data science tools. They work with large datasets to develop predictive models, automate processes, and provide data-driven insights for businesses. Their responsibilities often include data preprocessing, model training, evaluation, and deploying solutions to the cloud. They collaborate closely with data engineers, data scientists, and software developers to integrate machine learning solutions into applications. Proficiency in Microsoft Azure and knowledge of AI frameworks are essential for this role.
More about Microsoft Machine Learning jobs
What cities are hiring for Microsoft Machine Learning jobs? Cities with the most Microsoft Machine Learning job openings:
What are the most commonly searched types of Microsoft Machine Learning jobs? The most popular types of Microsoft Machine Learning jobs are:
What states have the most Microsoft Machine Learning jobs? States with the most job openings for Microsoft Machine Learning jobs include:
What job categories do people searching Microsoft Machine Learning jobs look for? The top searched job categories for Microsoft Machine Learning jobs are:
Infographic showing various Microsoft Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior Researcher - Machine Learning - Microsoft Research

Senior Researcher - Machine Learning - Microsoft Research

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 4 days ago


Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

57th of 209 rated software companies


Job description

Job Summary:
Microsoft is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. They are seeking a Senior Researcher in Machine Learning to advance the ways artificial intelligence can accelerate discovery in biomedicine and life sciences.
Responsibilities:
• Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence, non-exhaustively including techniques around post-training, inference-time optimization, interpretability, and experimental design.
• Deep Learning Training Methods: Leverage a background in state-of-the-art techniques to post-train and fine-tune for application-specific scenarios.
• System Optimization: Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc.
• In addition to these specific technical areas, candidates will be required to participate in robust, repeatable team-based technical research and be effective communicators.
Qualifications:
Required:
• Doctorate in relevant field
• OR Master's Degree in relevant field AND 3+ years related research experience
• OR Bachelor's Degree in relevant field AND 4+ years related research experience
• OR equivalent experience.
Preferred:
• Experience creating and using generative AI or other ML techniques in the life sciences.
• Experience with pre-, mid-, and/or post-training deep learning models.
• Experience innovating software, systems, or workflows that leverage generative AI-based systems to solve real-world problems in the life sciences. This includes techniques like context engineering, prompt optimization, and optimization of test-time compute.
• Experience creating robust, repeatable technical research artifacts as part of an interdisciplinary team.
• Experience publishing academic papers as a lead author or essential contributor.
Company:
Microsoft provides computer software, consumer electronics, cloud computing platforms, and digital enterprise systems. Founded in 1975, the company is headquartered in Redmond, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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