ZipRecruiter

Log In

2

Remote Python Machine Learning Jobs in San Diego, CA

AbbVie

Lead Machine Learning Engineer

San Diego, CA · On-site +1

$124K/yr

Strong programming skills in Python and understanding of core computer science principles * Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace ...

Alutiiq

Software Engineer

San Diego, CA · On-site +1

Experience supporting Machine Learning, Computer Vision, or data science workflows. Familiarity ... Python C# C++ JavaScript ava Experience developing web applications, APIs, or cloud-based software ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information ... Experience with Python * Experience with Data Visualization and Reporting platforms The following ...

Waymo

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110K - $151K/yr

... when remote assistance is needed, across multiple platforms and in support of rapid ... Strong grasp of Machine Learning fundamentals and applied statistical concepts * Solid written and ...

Axos Bank

Lead Enterprise Architect

San Diego, CA · On-site +1

$185K - $225K/yr

Remote or Hybrid in not available. Axos Bank is seeking an experienced Lead Enterprise Architect to ... AI, machine learning, big data, Crypto, IoT, blockchain, and cloud services, to enhance the ...

next page

Showing results 1-20

All JobsPython Machine Learning JobsRemote Python Machine Learning JobsRemote Python Machine Learning Jobs in San Diego, CA

Remote Python Machine Learning information

See San Diego, CA salary details

$14

$62

$91

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

As of Jul 9, 2026, the average hourly pay for remote python machine learning in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 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.

What are popular job titles related to Remote Python Machine Learning jobs in San Diego, CA? For Remote Python Machine Learning jobs in San Diego, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in San Diego, CA look for? The top searched job categories for Remote Python Machine Learning jobs in San Diego, CA are:
What cities near San Diego, CA are hiring for Remote Python Machine Learning jobs? Cities near San Diego, CA with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
Machine Learning Research Scientist (Remote)

Machine Learning Research Scientist (Remote)

GroupSolver

San Diego, CA • Remote

Full-time

Posted 15 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.