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Remote Python Machine Learning Jobs in Santa Monica, CA

Machine Learning Engineer II

Los Angeles, CA ยท On-site +1

$105K - $143K/yr

Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language * Strong understanding of machine learning fundamentals, including model ...

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Remote Python Machine Learning information

See Santa Monica, CA salary details

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$96

How much do remote python machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote python machine learning in Santa Monica, CA is $65.80, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $74.76 per hour, depending on experience, location, and employer.

What is a remote Python machine learning?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What does a remote Python machine learning professional do?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the key skills and qualifications needed to thrive in remote Python machine learning?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are the most commonly searched types of Python Machine Learning jobs in Santa Monica, CA?

The most popular types of Python Machine Learning jobs in Santa Monica, CA are:

What are popular job titles related to Remote Python Machine Learning jobs in Santa Monica, CA?

For Remote Python Machine Learning jobs in Santa Monica, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Machine Learning jobs in Santa Monica, CA look for?

The top searched job categories for Remote Python Machine Learning jobs in Santa Monica, CA are:

What cities near Santa Monica, CA are hiring for Remote Python Machine Learning jobs?

Cities near Santa Monica, CA with the most Remote Python Machine Learning job openings:

Senior Machine Learning Engineer

thatgamecompany

Los Angeles, CA โ€ข Remote

$120K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Senior Machine Learning Engineer

Remote US & Canada

We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you.

We expect you to:

  • Have deep passion for video games and think on behalf of our players

  • Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you

  • Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space

  • Be responsible for your domain of expertise on projects from inception to delivery and beyond

Required Skills

  • 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products

  • Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task

  • Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance

  • Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP

  • Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction

  • Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)

  • Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders

Preferred Experience

Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:

• Experience with graph databases, collaborative filtering, or user vectorization

• Experience with large-scale sentiment analysis

• Experience with Typescript or Golang

• Experience with source control, CICD, Protobuf, or infrastructure as code

• Experience in the video game industry

• Experience in a small company with a startup feel

• Interest in technical writing and sharing your work

Perks:

• Paid Time Off, Holidays and Two Weeks Winter Break

• Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.

• Pet Insurance for those who need it too.

• Compassionate leave for employees who needs to take care of their family members

• Pre-tax wellness stipend

• Pre-tax work from home stipend

• Access our savings plan (401K program) with company match

• Mental health resources including Headspace membership and Employee Assistance Program (EAP)

• Discount portal for everyday goods and services

• Employee inclusive and diversity initiatives such as Grow Together

• Support for personal professional development

We look forward to meeting you!

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.

Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.

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