ZipRecruiter

Log In

2

Remote Applied Scientist Machine Learning Jobs in California

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

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.

YO AI Labs

AI Data Scientist - Remote

San Jose, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

YO AI Labs

AI Data Scientist - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

Waabi

Senior / Staff Applied Scientist

San Francisco, CA · On-site +1

$146K - $280K/yr

Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. * MS/PhD or equivalent ...

Waabi

Senior / Staff Applied Scientist

San Francisco, CA · On-site +1

$146K - $280K/yr

Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. * MS/PhD or equivalent ...

Waabi

Senior / Staff Applied Scientist

San Francisco, CA · On-site +1

$146K - $280K/yr

Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. * MS/PhD or equivalent ...

previous page

Showing results 41-60

All JobsApplied Scientist Machine Learning JobsRemote Applied Scientist Machine Learning JobsRemote Applied Scientist Machine Learning Jobs in California

Remote Applied Scientist Machine Learning information

What does a remote applied scientist machine learning do?

A Remote Applied Scientist in Machine Learning develops and implements machine learning models to solve real-world problems, often from a location outside of a traditional office. Their work involves analyzing large datasets, designing algorithms, and collaborating with teams to deploy scalable solutions. They may also conduct experiments to improve model performance and stay up to date with the latest research in the field. Communication and documentation are important, as they often work with cross-functional teams remotely.

What are the key skills and qualifications needed to thrive as a remote applied scientist machine learning?

To thrive as a Remote Applied Scientist in Machine Learning, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree and experience in ML algorithm development. Familiarity with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and tools for data processing and cloud computing is essential. Exceptional problem-solving ability, communication, and self-motivation are key soft skills for collaborating remotely and driving projects forward. These skills ensure you can independently design, implement, and communicate impactful machine learning solutions in a distributed work environment.

What can I expect in terms of collaboration and communication when working as a remote applied scientist machine learning?

As a Remote Applied Scientist in Machine Learning, you will frequently collaborate with cross-functional teams, including data engineers, product managers, and software developers. Communication typically takes place via video calls, chat platforms, and shared documentation, so strong written and verbal communication skills are essential. You may participate in regular virtual stand-ups, sprint planning, and code reviews to align on project goals and share progress. Remote work environments emphasize proactive communication and self-management to ensure seamless teamwork and project delivery.

What cities in California are hiring for Remote Applied Scientist Machine Learning jobs?

Cities in California with the most Remote Applied Scientist Machine Learning job openings:

Remote Applied Scientist Machine Learning jobs near you
Infographic showing various Remote Applied Scientist Machine Learning job openings in California as of June 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Machine Learning Engineer

San Mateo, CA • On-site, Remote

Pattern AI
See more jobs at Pattern AIexternal

Full-time

Re-posted 12 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.

Apply