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Remote Python Machine Learning Jobs in Santa Monica, CA

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Experience with Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn * Familiarity ...

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

As of Jun 4, 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 job?

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

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 some typical daily tasks for a Remote Python Machine Learning professional?

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.
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Remote Python Machine Learning jobs near you

Machine Learning Engineer

Wings of Destiny

Malibu, CA • Remote

Other

Posted 25 days ago

Job description

Location: Remote

Commitment: 5–10 hours per week (flexible)

Duration: 3–6 months (with potential extension)

Compensation: Unpaid / Volunteer (reference letter + portfolio credit provided)

We are a mission-driven organization focused on building technology solutions that create measurable social impact. Our team includes engineers, designers, and community leaders collaborating to deliver scalable, ethical, and data-driven products.

Role Overview

We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and deploy ML models that support our core initiatives. This is an excellent opportunity for someone looking to gain hands-on experience, contribute to meaningful projects, and expand their professional portfolio.

You will work closely with our technical and product teams to develop data pipelines, train models, and integrate intelligent features into production-ready systems.

Key Responsibilities

  • Design, train, and evaluate machine learning models
  • Clean, preprocess, and analyze structured and unstructured data
  • Build and maintain data pipelines
  • Deploy ML models into staging/production environments
  • Collaborate with cross-functional teams to define ML requirements
  • Document experiments, processes, and results
  • Ensure ethical and responsible AI practices

Preferred Qualifications

  • Experience with Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with data manipulation tools (Pandas, NumPy)
  • Understanding of supervised and unsupervised learning techniques
  • Experience with APIs and cloud platforms (AWS, GCP, or Azure) is a plus
  • Knowledge of version control (Git)
  • Strong analytical and problem-solving skills
  • Ability to work independently in a remote environment

What You’ll Gain

  • Real-world experience building and deploying ML systems
  • Mentorship from experienced engineers
  • A tangible project portfolio
  • Letter of recommendation upon successful completion
  • Opportunity to transition into a paid role (if available)

Ideal Candidate

  • Passionate about AI and social impact
  • Self-motivated and reliable
  • Eager to learn and contribute
  • Comfortable working in a collaborative, fast-paced environment

Please submit:

  • Your resume
  • GitHub or portfolio link
  • A short statement (200–300 words) about why you’re interested

Apply