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Home Based Python Machine Learning Jobs in Los Angeles, CA

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Experience with UNIX/Linux, Python,PyTorch, Git, and cloud computing platforms * Experienceworking ...

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside ...

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design ... You have experience solving "full stack" machine learning problems, from data collection and ETL ...

Machine Learning Engineer II

Irvine, CA · On-site

$104K - $143K/yr

You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design ... You have experience solving "full stack" machine learning problems, from data collection and ETL ...

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside ...

Experience with Python, Matlab and C++ * Hands-on experience of development to solve problems such ... This position also qualifies for up to 10% annual bonus based on Company, department, and ...

Experience with Python, Matlab and C++ * Hands-on experience of development to solve problems such ... This position also qualifies for up to 10% annual bonus based on Company, department, and ...

Senior Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

... Python (or similar modern language). * Demonstrated experience designing and buildinglarge ... Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures.

... Python (or similar modern language). * Demonstrated experience designing and buildinglarge ... Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures.

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

... in Python (or similar modern language). * Demonstrated experience designing and building large ... Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures.

Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods ... This position also qualifies for up to 10% annual bonus based on Company, department, and ...

Company Description Founded in 2016, VoxelCloud, Inc. is a Los Angeles-based worldwide leader in AI ... Proficient in Python * Good CS fundamentals in data structures and algorithm * Detail-oriented ...

Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods ... This position also qualifies for up to 10% annual bonus based on Company, department, and ...

Company Description Founded in 2016, VoxelCloud, Inc. is a Los Angeles-based worldwide leader in AI ... Proficient in Python * Good CS fundamentals in data structures and algorithm * Detail-oriented ...

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$109K - $150K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn ... Actual salary will vary based on several factors including but not limited to, relevant skills ...

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Home Based Python Machine Learning information

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How much do home based python machine learning jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for home based python machine learning in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Los Angeles, CA? For Home Based Python Machine Learning jobs in Los Angeles, CA, the most frequently searched job titles are:
What cities near Los Angeles, CA are hiring for Home Based Python Machine Learning jobs? Cities near Los Angeles, CA with the most Home Based Python Machine Learning job openings:
Principal Machine Learning Researcher (Physical AI)

Principal Machine Learning Researcher (Physical AI)

Freeform

Los Angeles, CA • On-site

Full-time

Posted 11 days ago


Job description

Job Summary:
Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts. They are seeking a Principal Machine Learning Researcher to lead the development of advanced learning and control problems in a production-scale, AI-native metal manufacturing system.
Responsibilities:
• Design and develop machine learning models for complex, multi-physics manufacturing processes.
• Develop hybrid modeling approaches that combine first-principles physics with data-driven learning.
• Lead the formulation of learning-based models used for prediction and control in production-scale metal additive manufacturing systems.
• Develop methods to learn from large-scale, high-dimensional in-situ sensor data collected during printing.
• Design unsupervised and self-supervised learning techniques to correlate process signals with part quality, geometry, and performance.
• Develop models that link process parameters, geometry, and machine state to thermal and mechanical outcomes.
• Integrate learned models with physics-based simulation and digital twin frameworks.
• Contribute to the design of closed-loop control and autonomy systems that operate in real time on production hardware.
• Develop learning-based approaches for machine health monitoring, anomaly detection, and system diagnostics.
• Guide the integration of machine learning models into production software and manufacturing workflows.
• Help define research direction and technical standards for machine learning applied to physical systems within the organization.
Qualifications:
Required:
• 5+ years of experience in machine learning, applied research, or related technical fields or a PhD in machine learning, applied mathematics, physics, robotics, controls, or a closely related discipline.
• Strong foundations in machine learning applied to physical systems, modeling, or control.
• Proficiency in Python and at least one systems-level programming language (C/C++ preferred).
• Experience working with large-scale, noisy, real-world datasets.
Preferred:
• MS or PhD in applied mathematics, physics, robotics, controls, materials science, or a related discipline.
• Experience with hybrid physics–ML models, digital twins, or simulation-in-the-loop learning.
• Background in autonomy, robotics, model predictive control, or reinforcement learning for physical systems.
• Experience with image-based or sensor-based inference in industrial or scientific settings.
• Familiarity with computational geometry or geometric modeling.
• Comfort working across theory, experimentation, and deployment in tightly coupled systems.
• Ability to reason from first principles and translate theory into working models and systems.
Company:
Freeform is a 3D printing company offering metal 3D printing solutions for manufacturing companies. Founded in 2018, the company is headquartered in Los Angeles, USA, with a team of 51-200 employees. The company is currently Growth Stage.