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Machine Learning Internship Microsoft Jobs in Berkeley, CA

Voiceflow

Machine Learning Research Scientist

San Mateo, CA · On-site

$100 - $150/hr

... Microsoft, Google, Nvidia, TRI, etc.). * Technical : Expertise in training machine learning models ... including deep learning, reinforcement learning or genetic algorithms. This does not include ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ... • Strong background in machine learning engineering with a focus on model optimization ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ... • Strong background in machine learning engineering with a focus on model optimization ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

What we're looking for * 4+ years of non-internship professional MLE experience. * Deep expertise ... Strong background in machine learning engineering with a focus on model optimization, distillation ...

Atoms

Staff Machine Learning Engineer

San Francisco, CA · On-site

What we're looking for * 10+ years of non-internship professional MLE experience. * Deep expertise ... Strong background in machine learning engineering with a focus on model optimization, distillation ...

Atoms

Staff Machine Learning Engineer

San Francisco, CA · On-site

What we're looking for * 10+ years of non-internship professional MLE experience. * Deep expertise ... Strong background in machine learning engineering with a focus on model optimization, distillation ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

What we're looking for * 4+ years of non-internship professional MLE experience. * Deep expertise ... Strong background in machine learning engineering with a focus on model optimization, distillation ...

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All JobsMachine Learning Microsoft JobsMachine Learning Internship Microsoft JobsMachine Learning Internship Microsoft Jobs in Berkeley, CA

Machine Learning Internship Microsoft information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

How much do machine learning internship microsoft jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning internship microsoft in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 per year, depending on experience, location, and employer.

What is a machine learning internship at Microsoft?

A Machine Learning Internship at Microsoft is a temporary position for students or recent graduates to gain hands-on experience working on real-world machine learning projects. Interns collaborate with experienced engineers and researchers to develop, test, and deploy machine learning models and solutions that impact Microsoft products and services. The internship typically involves working with large datasets, implementing algorithms, and contributing to team goals while learning about cutting-edge AI technologies. Interns also benefit from mentorship, networking opportunities, and exposure to the latest industry practices.

What types of projects do interns typically work on during a machine learning internship at Microsoft?

As a Machine Learning intern at Microsoft, you can expect to work on impactful, real-world projects that contribute to ongoing products or research initiatives. Interns often collaborate with data scientists, software engineers, and product teams to develop, test, and refine machine learning models for applications such as natural language processing, computer vision, or recommendation systems. You'll likely participate in code reviews, present your findings, and receive mentorship from experienced professionals, all within a collaborative and innovative environment. These projects not only enhance technical skills but also provide valuable exposure to large-scale, industry-leading systems.

What are the key skills and qualifications needed to thrive as a machine learning intern at Microsoft, and why are they important?

To thrive as a Machine Learning Intern at Microsoft, you need a solid foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by coursework or related projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like Azure are often expected. Strong problem-solving skills, curiosity, and effective communication help you collaborate with team members and present findings. These skills are crucial for contributing to innovative projects and translating complex data-driven insights into impactful solutions within a dynamic tech environment.

What is the difference between Machine Learning Internship Microsoft vs Data Science Internship Microsoft?

AspectMachine Learning Internship MicrosoftData Science Internship Microsoft
Required SkillsProgramming, ML algorithms, Python, TensorFlowStatistics, data analysis, Python, SQL
Work EnvironmentResearch and development teams focused on ML modelsData analysis and visualization teams
Industry UsageAI and ML product developmentBusiness insights and data-driven decision making

Both internships are highly competitive roles at Microsoft, often requiring programming skills and relevant coursework. Machine Learning Internships focus on developing and deploying ML models, while Data Science Internships emphasize analyzing data to generate insights. Candidates should review the specific role descriptions to align their skills accordingly.

What are popular job titles related to Machine Learning Internship Microsoft jobs in Berkeley, CA?

For Machine Learning Internship Microsoft jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Internship Microsoft jobs in Berkeley, CA look for?

The top searched job categories for Machine Learning Internship Microsoft jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Machine Learning Internship Microsoft jobs?

Cities near Berkeley, CA with the most Machine Learning Internship Microsoft job openings:

Machine Learning Internship Microsoft jobs near you
Infographic showing various Machine Learning Internship Microsoft job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,141 per year, or $25.1 per hour.

Machine Learning Research Scientist

Voiceflow

San Mateo, CA • On-site

$100 - $150/hr

Other

PTO

Posted 19 days ago

Job description

Company Description

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.

Role Description

This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

  • Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.
  • Collaborate with the engineering team to build and deploy production-ready research systems.
  • RL post-train and fine-tune reasoning models to automate components of the machine learning research process.
  • Stay current with the latest developments in AI research and automation.
Qualifications
  • Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.
  • Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc.) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI, etc.).
  • Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents.
  • Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.
Recommended Qualifications
  • Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).
  • Science: Any background or proven interested in Automated Scientific Research is a plus.
Benefits & Perks
  • Our comp is competitive against major LLM frontier lab packages
  • Unlimited PTO and flexible working arrangements
  • Conference attendance and publication support
Our Culture

We're a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development. We are an e-verify employer.

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