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Machine Learning Intern Remote Jobs in Santa Clara, CA

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site +1

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ...

Netflix

ML Engineer L4, Consumer Inference

Los Gatos, CA · On-site +1

Machine Learning/Artificial Intelligence is powering innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our ...

Landpoint

Remote Data Analyst

Fremont, CA · Remote

Knowledge of statistical methods and machine learning algorithms: A deep understanding of ... Remote data analysts must be able to clearly and concisely communicate their findings and ...

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Machine Learning Intern Remote information

See Santa Clara, CA salary details

$29.9K

$50K

$103.4K

How much do machine learning intern remote jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning intern remote in Santa Clara, CA is $50,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $54,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning intern?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
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Machine Learning Intern Remote jobs near you

Machine Learning Researcher / Engineer (Foundation Models)

Pathway

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

About Pathway

At Pathway we are shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. 

Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.

Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. 

The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer ("the T" in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California.


The Opportunity

This is an R&D position in attention-based models.

We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research.

This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum.

You Will
  • perform (distributed) model training.
  • help improve/adapt model architectures based on experiment results.
  • design new tasks and experiments.
  • optionally: oversee activities of team members involved in data preparation.

The results of your work will play a crucial role in the success of the project.

Requirements

Cover letter

It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.

You are expected to meet at least one of the following criteria:
  1. You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions.
  2. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's.
  3. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA).
  4. You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School.
You Are
  • A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply).
  • Interested in improving foundational architectures and creating new benchmarks.
  • Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow).
  • Have a good understanding of GPU architecture, memory design, and communication.
  • Have a good understanding of graph algorithms.
  • Have some familiarity with model monitoring, git, build systems, and CI/CD.
  • Respectful of others
  • Fluent in English
Bonus Points
  • Knowledge of approaches used in distributed training.
  • Familiarity with Triton
  • Successful track-record in algorithms & data science contests.
  • Showing a code portfolio.
Why You Should Apply
  • Join an intellectually stimulating work environment.
  • Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data.
  • Be part of one of an early-stage AI startup that believes in impactful research and foundational changes.

Benefits

  • Type of contract: Full-time, permanent
  • Preferable joining date: Immediate. The positions are open until filled - please apply immediately.
  • Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan.
  • Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered.

If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us.

Apply