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Applied Scientist Machine Learning Jobs in California

Applied Scientist Intern

San Francisco, CA ยท On-site

$17.75 - $23.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027 ... Are you a curious and open-minded individual with an interest in programming and machine learning?

Applied Scientist

Mountain View, CA ยท On-site +1

$120K - $195K/yr

LinkedIn's Data Science and Applied Science teams use data, experimentation, causal inference, machine learning, and AI to solve important product and business problems. With more than 1 billion ...

In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network ...

Sr Applied Scientist, Ring AI

Sunnyvale, CA ยท On-site

$107K - $146K/yr

As an Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great ...

Sr Applied Scientist, Ring AI

Sunnyvale, CA ยท On-site

$107K - $146K/yr

As an Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great ...

Showing results 21-40

Applied Scientist Machine Learning information

See California salary details

$22K

$127K

$199.8K

How much do applied scientist machine learning jobs pay per year?

As of Sep 14, 2026, the average yearly pay for applied scientist machine learning in California is $127,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,391.00 and $154,718.00 per year, depending on experience, location, and employer.

What does an applied scientist in machine learning do?

An Applied Scientist in Machine Learning develops and implements machine learning models to solve real-world problems. They work on collecting and preprocessing data, designing algorithms, and evaluating model performance. Their work often bridges research and product development, collaborating with engineers and data scientists to deploy solutions in production. Applied Scientists also keep up-to-date with the latest advancements in machine learning to continuously improve systems and outcomes.

How does an applied scientist in machine learning typically collaborate with software engineers and data engineers on projects?

Applied Scientists in Machine Learning often work closely with software engineers and data engineers to bring machine learning models from prototype to production. They usually develop and validate models, while data engineers assist in preparing and managing large datasets, and software engineers help integrate models into scalable applications. Effective communication and cross-functional teamwork are essential, as the role requires translating scientific findings into practical solutions that align with business goals. Regular meetings, code reviews, and collaborative problem-solving sessions are common, ensuring smooth transitions between research and deployment phases.

What are the key skills and qualifications needed to thrive as an applied scientist in machine learning, and why are they important?

To thrive as an Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, computer science, and typically a master's or PhD in a related field. Proficiency in programming languages like Python or Java, experience with ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms and data processing tools are crucial. Strong problem-solving skills, intellectual curiosity, and the ability to communicate complex ideas clearly make candidates stand out. These skills ensure effective development, implementation, and communication of advanced machine learning solutions that drive business impact.

What are the most commonly searched types of Applied Scientist Machine Learning jobs in California?

The most popular types of Applied Scientist Machine Learning jobs in California are:

What are popular job titles related to Applied Scientist Machine Learning jobs in California?

For Applied Scientist Machine Learning jobs in California, the most frequently searched job titles are:

Infographic showing various Applied Scientist Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $127,000 per year, or $61.1 per hour.

Applied Scientist Intern

San Francisco, CA โ€ข On-site

$17.75 - $23.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Applied Scientist Intern

The dates for this internship are January 11, 2027-July 12, 2027.

Job Description

Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs is seeking a ML/NLP scientist intern with a passion for problem-solving using state-of-theโ€‘art Machine Learning and Natural Language Processing techniques. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in longโ€‘term research for the future. As an Applied Scientist Intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design, to drive the companyโ€™s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful dataโ€‘driven Artificial Intelligence solutions in support of highโ€‘growth products that serve Thomson Reuters customers in new and exciting ways.

Key Responsibilities
  • Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering highโ€‘quality solutions.
  • Collaborate: Working on a collaborative crossโ€‘functional team, you will learn from and partner with colleagues across the globe.
  • Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving realโ€‘world challenges.
Required Qualifications
  • Be currently enrolled in a PhD program in a relevant discipline or a Masterโ€™s program with research experience.
  • Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods, including Large Language Models.
  • Have experience with model training, fine tuning, and evaluating experiments related to Machine Learning or Large Language Models.
  • Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS).
  • Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikitโ€‘learn, spaCy, LangChain, and HuggingFace.
  • Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
  • Have good communication skills and the ability to work collaboratively as part of a team.
Preferred Qualifications

This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!

Opportunities for Our Applied Science Interns

Learning & Development: Onโ€‘theโ€‘job coaching & learning, as well as the opportunity to work with cuttingโ€‘edge methods and technologies. Data and Highโ€‘Impact Problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our highโ€‘impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBs of legal, regulatory, news, and tax data.

Competitive Compensation: The opportunity to earn while learning new skills #LIโ€‘LB1

Whatโ€™s in it for You?

Flexibility & Workโ€‘Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our commitment of empowering employees to achieve a better workโ€‘life balance.

Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrowโ€™s challenges and deliver realโ€‘world solutions. Our Grow My Way programming and skillsโ€‘first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AIโ€‘enabled future.

Industry Competitive Benefits: We offer comprehensive benefit plans to include paid leave, two companyโ€‘wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Culture: Globally recognized, awardโ€‘winning reputation for inclusion and belonging, flexibility, workโ€‘life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with proโ€‘bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Making a Realโ€‘World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you optโ€‘out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Compensation Information

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $0 USD - $0 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $0 USD - $0 USD. For Ontario, Canada, the base compensation range for this role is $0.00 CAD - $0.00 CAD. Base pay is positioned within the range based on several factors including an individualโ€™s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.

Equal Employment Opportunity

To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drugโ€‘free workplace. Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.

If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.

Safety Notice

Learn more about how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

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At Thomson Reuters, weโ€™re not riding the AI wave โ€” weโ€™re reshaping the future of professional work across law, tax, compliance, and journalism. Here, you will collaborate with smart, ambitious people who thrive on solving complex problems, delivering marketโ€‘leading solutions, and innovating with curiosity and care. Learn more about a career with us Our Employer Story Inside Thomson Reuters Blog Awards and Recognition Join Our Talent Community Protect Your Job Search.

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