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Remote Internship Machine Learning Engineer Jobs in Mountain View, CA

... engineering constraints. * Design systems to speed up the time from idea to deployment of new ... Designing, training and evaluating machine learning models; * Productionizing and deploying machine ...

About the role We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level. You'll work at the intersection of large-scale ...

Senior Machine Learning Engineer

San Francisco, CA · Remote

$107K - $146K/yr

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise ...

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We're looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game ...

Showing results 41-60

Remote Internship Machine Learning Engineer information

See Mountain View, CA salary details

$30.1K

$50.2K

$103.8K

How much do remote internship machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote internship machine learning engineer in Mountain View, CA is $50,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,300.00 and $54,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What are popular job titles related to Remote Internship Machine Learning Engineer jobs in Mountain View, CA?

For Remote Internship Machine Learning Engineer jobs in Mountain View, CA, the most frequently searched job titles are:

What job categories do people searching Remote Internship Machine Learning Engineer jobs in Mountain View, CA look for?

The top searched job categories for Remote Internship Machine Learning Engineer jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Remote Internship Machine Learning Engineer jobs?

Cities near Mountain View, CA with the most Remote Internship Machine Learning Engineer job openings:

Infographic showing various Remote Internship Machine Learning Engineer job openings in Mountain View, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $50,235 per year, or $24.2 per hour.

Principal Machine Learning Engineer

Atlassian

Mountain View, CA • On-site, Remote

Full-time

Re-posted 25 days ago


Job description

Working at Atlassian

Atlassians can choose where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

As a Principal Machine Learning Engineer in the Confluence AI organization, you will help shape the next generation of AI-powered experiences across Confluence. This is a hands-on principal-level role for an engineer who can turn fast-moving advances in machine learning into high-quality product experiences that reach customers at scale.

You will work across product, platform, and partner teams to define technical direction, solve ambiguous problems, and deliver AI capabilities that improve how users create, edit, discover, and interact with content. The role spans the full stack of AI product development, from model-informed product design and evaluation strategy to production engineering, experimentation, and long-term technical leadership.

This role is especially well suited for someone who combines strong machine learning depth with product instinct and systems thinking. Success in this position means not only building sophisticated AI systems, but also identifying the highest-value opportunities, raising engineering standards, and helping multiple teams move faster and with more confidence.


  • Set technical direction for machine learning and AI initiatives that power Confluence experiences across areas such as content creation, editing, summarization, recommendations, and multimodal interaction.

  • Design, build, and evolve production-grade ML systems, evaluation workflows, experimentation loops, and supporting infrastructure that enable reliable delivery of AI features at scale.

  • Lead the development of customer-facing AI capabilities by translating ambiguous product opportunities into practical technical strategies, measurable outcomes, and shipped experiences.

  • Drive advances in areas such as model behavior, retrieval, ranking, prompt and workflow design, automated evaluation, quality measurement, and system reliability.

  • Partner closely with engineering, product, design, analytics, and platform teams to align on priorities, influence roadmaps, and deliver cross-organizational initiatives.

  • Identify systemic product or model failure modes, develop interventions, and close the loop between technical improvements and customer impact through experimentation and data-driven iteration.

  • Make high-leverage architectural decisions across application layers, balancing model quality, latency, cost, safety, maintainability, and user experience.

  • Contribute as a deeply hands-on engineer when needed, including prototyping, implementation, debugging, and guiding complex production rollouts.

  • Raise the bar for principal-level engineering by mentoring other engineers, leading design reviews, improving technical quality, and establishing reusable patterns that benefit multiple teams.

  • Help build the foundations that allow Confluence AI teams to ship deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.


At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.


In The United States or Remote, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:


Zone A: $236,700 - $309,025


Zone B: $213,030 - $278,123


Zone C: $196,461 - $256,491


Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.