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Remote Machine Learning Jobs in Los Altos, CA (NOW HIRING)

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Remote Machine Learning information

See Los Altos, CA salary details

$30.2K

$50.4K

$104.2K

How much do remote machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote machine learning in Los Altos, CA is $50,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $54,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Los Altos, CA?

The most popular types of Machine Learning jobs in Los Altos, CA are:

What are popular job titles related to Remote Machine Learning jobs in Los Altos, CA?

For Remote Machine Learning jobs in Los Altos, CA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Los Altos, CA look for?

The top searched job categories for Remote Machine Learning jobs in Los Altos, CA are:

What cities near Los Altos, CA are hiring for Remote Machine Learning jobs?

Cities near Los Altos, CA with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Los Altos, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $50,432 per year, or $24.2 per hour.

Machine Learning Researcher / Engineer (Foundation Models)

Pathway

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 24 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