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Home Based Python Machine Learning Jobs in Santa Monica, CA

Amgen

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$128K - $169K/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 ...

Amgen, Inc.

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 ...

Bespoke Labs

Machine Learning Engineer

Northridge, CA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Teklead Corp

Sr Python Developer

Agoura Hills, CA · On-site

$66 - $77/hr

... team, work on Machine Learning, Natural Language Processing, and Generative AI projects. Job ... ● Python (minimum 2 years) ● AWS (minimum one year) ● SQL (minimum two years) ● BS in ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Santa Monica, CA

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 14, 2026, the average hourly pay for home based 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 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 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 Home Based Python Machine Learning jobs in Santa Monica, CA? For Home Based Python Machine Learning jobs in Santa Monica, CA, the most frequently searched job titles are:
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What cities near Santa Monica, CA are hiring for Home Based Python Machine Learning jobs? Cities near Santa Monica, CA with the most Home Based Python Machine Learning job openings:
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Principal Machine Learning Researcher (Physical AI)

Principal Machine Learning Researcher (Physical AI)

Freeform

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

PRINCIPAL MACHINE LEARNING RESEARCHER (PHYSICAL AI)
Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.
This architecture enables continuous generation of petabyte-scale, high-fidelity data capturing the physics of metal printing - from in-situ process signals and machine state to geometry and material outcomes. Each factory node contributes to a growing learning system that improves modeling accuracy, control performance, yield, and scalability over time.
Freeform is hiring a Principal Machine Learning Researcher to lead the development of advanced learning and control problems in a production-scale, AI-native metal manufacturing system. The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy frameworks. Work includes modeling relationships between process inputs, geometry, and machine state to predict thermal, mechanical, and geometric outcomes during printing, using hybrid physics-ML approaches and multi-modal in-situ data.
Research is validated against physical outcomes and deployed into production systems, where improvements directly impact stability, yield, throughput, and capability across an expanding fleet of manufacturing nodes. Your work will have a direct and meaningful impact on how frontier technologies are designed and produced at scale.
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.

Basic Qualifications:
  • 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.

Nice to Have:
  • 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.

Location:
  • Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
  • Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:
  • We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
  • We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
  • Benefits
    • Significant stock option packages
    • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
    • Life insurance
    • Traditional and Roth 401(k)
    • Relocation assistance provided
    • Paid vacation, sick leave, and company holidays
    • Generous Paid Parental Leave and extended transition back to work for the birthing parent
    • Free daily catered lunch and dinner, and fully stocked kitchenette
    • Casual dress, flexible work hours, and regular catered team building events
  • Compensation
    • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.
    • In addition to the significant stock option package, the estimated salary range for this role is $200,000-$400,000. However is this a unique position with outsized impact for the right game-changing hire, so we will consider compensation outside of this range on a case-by-case basis.
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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