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Remote Machine Learning Engineer Jobs in Los Altos, CA

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Roblox

Senior Machine Learning Engineer, Economy

San Mateo, CA · On-site +1

$119K - $163.40K/yr

As a Senior Machine Learning Engineer on the Economy ML team, you will build models that power ranking, personalization, pricing, and optimization across Roblox's economic surfaces, including ...

Uber

Staff Machine Learning Engineer

Sunnyvale, CA · On-site +1

... programming languages such as Python, Spark SQL, Presto, Go, Java**Why Join Us?**- Work on high-impact machine learning problems that directly improve Uber's marketplace efficiency.- Influence key ...

Workday

Machine Learning Engineer III

Santa Clara, CA · On-site +1

$67.50 - $90.75/hr

We're looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers ... Those in our remote "home office" roles also have the opportunity to come together in our offices ...

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Remote Machine Learning Engineer information

See Los Altos, CA salary details

$37.3K

$152.5K

$229.2K

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

As of May 29, 2026, the average yearly pay for remote machine learning engineer in Los Altos, CA is $152,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $183,600.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.
More about Remote Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Los Altos, CA? The most popular types of Machine Learning Engineer jobs in Los Altos, CA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Los Altos, CA? For Remote Machine Learning Engineer jobs in Los Altos, CA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Los Altos, CA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Los Altos, CA are:
What cities near Los Altos, CA are hiring for Remote Machine Learning Engineer jobs? Cities near Los Altos, CA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Los Altos, CA as of May 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $152,502 per year, or $73.3 per hour.

Machine Learning Engineer

Pattern AI

San Mateo, CA • On-site, Remote

Full-time

Posted 24 days ago

Job description

Company Description
PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems.
Job Description
We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.
Responsibilities:
  • Build and deploy the ML pipelines that power PatternAI's machine learning platform.
  • Manage MLOps infrastructure to monitor and optimize models.

Qualifications
Experience:
  • 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
  • Proficiency across topics in machine learning and statistics.
  • Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)
  • Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.
  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends.
  • Experience implementing, deploying, and maintaining production machine learning systems.
  • Experience monitoring and optimizing model performance.
  • Experience with Linux, Docker and AWS, and basic development operations.
  • Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Additional Information
About PatternAI
PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.
All your information will be kept confidential according to EEO guidelines.

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