ZipRecruiter

Log In

1

Machine Learning Internship Microsoft Jobs in Berkeley, CA

Clera

Robot Learning Engineer

San Francisco, CA · On-site

This is an entry-level / new-grad research role where you'll apply state-of-the-art machine ... Strong fundamentals demonstrated through research publications, a thesis, internships, or open ...

previous page

Showing results 41-60

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 Aug 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 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 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 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.

Staff Machine Learning Engineer - AI Cloud

Rippling

San Francisco, CA • On-site

$198K - $330K/yr

Full-time

Re-posted 2 days ago

Rippling rating

8.9

Company rating: 8.9 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

About Rippling
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365-all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world's top investors-including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock-and was named one of America's best startup employers by Forbes.
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
About the role
At Rippling, we are not just building AI features, we are building an autonomous operating system for work. We are investing heavily in the next generation of enterprise AI: intelligent background automation, systems that monitor and improve themselves, and a custom intelligence layer built on Rippling's unique data and workflows.
The opportunity is to push the boundaries of what machine learning can do in the enterprise through purpose-built ML systems that learn from Rippling's proprietary data graph to deliver compounding intelligence across every product surface.
You will be joining the team that recently launched Rippling AI, the fastest-growing product in Rippling's history. The models and ML systems you build will be the intelligence powering every AI surface at Rippling.
As a Staff Machine Learning Engineer, you will own the end-to-end ML lifecycle: problem formulation, data strategy, model development, evaluation, and production deployment. You will lead technical direction for ML initiatives across the AI org and drive the science that makes Rippling's agents reliable, accurate, and continuously improving. This is a deeply hands-on role.
What you will do
  • Own the end-to-end machine learning lifecycle for high-impact AI initiatives
  • Design and implement novel ML architectures (fine-tuned LLMs, RAG, reward models, multi-agent orchestration) tailored to Rippling's enterprise domain
  • Build robust evaluation and experimentation infrastructure: offline benchmarks, A/B testing, and continuous monitoring of model quality Develop training pipelines and data flywheels that leverage Rippling's structured data graph
  • Lead research-to-production efforts: identify where frontier techniques (RLHF, distillation, structured decoding, tool-use training) unlock step-function improvements
  • Design self-improving systems: feedback loops, active learning, and automated retraining pipelines
  • Partner closely with Product and Platform teams
  • Mentor engineers across the org on ML best practices
  • Track the frontier of ML research and translate breakthroughs into production systems

What you will need
  • 8+ years of software engineering experience with 5+ years focused on ML, shipping ML systems to production at scale
  • Deep expertise in modern ML: LLMs, transformer architectures, fine-tuning, RLHF, RAG
  • Strong fundamentals in classical ML and statistics
  • Hands-on proficiency with ML frameworks (PyTorch, JAX) and production ML infrastructure
  • Experience building evaluation systems for generative AI
  • Proven ability to lead complex, cross-functional technical initiatives
  • Strong product instincts
  • Clear, precise communication to diverse audiences
  • Comfort with ambiguity and high velocity
  • Publications in top ML venues (NeurIPS, ICML, ACL, EMNLP) are a plus
  • Experience with enterprise data or knowledge graphs is a plus

Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is:
198,000 - 330,000 USD per year (US San Francisco Bay Area)
198,000 - 330,000 USD per year (US Tier 1)

What Rippling employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply