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Home Based Python Machine Learning Jobs in California

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow ... PhD in Machine Learning, Computer Science, Statistics, or a related field * Experience with cloud ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Minimum Qualifications Software engineering skills and proficiency in Python Experience with ... machine learning, computer science, computer engineering or related fields.

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow * Experience with RF ... Familiarity with cloud-based infrastructure: Azure and/or AWS * Experience tracking projects with ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow * Strong foundation in ... Familiarity with cloud-based infrastructure: Azure and/or AWS * Experience tracking projects with ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

Tapestry

Machine Learning Engineer

Mountain View, CA

Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow ... PhD in Machine Learning, Computer Science, Statistics, or a related field * Experience with cloud ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based ... Advanced knowledge of Python, SQL * Strong oral and written communication skills #LI-Hybrid

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge ... Python, and experience with ML model optimization. • Ability to work independently and ...

Wajo AI

Machine Learning Engineer

San Francisco, CA · On-site

Role Description As a Machine Learning Engineer at Wajo AI, you will design, implement, and deploy ... proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.

New

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San ... Building machine learning models and pipelines in Python, using common libraries and frameworks (e ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in California

Home Based Python Machine Learning information

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 California?

For Home Based Python Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Home Based Python Machine Learning jobs in California look for?

The top searched job categories for Home Based Python Machine Learning jobs in California are:

What cities in California are hiring for Home Based Python Machine Learning jobs?

Cities in California with the most Home Based Python Machine Learning job openings:

Home Based Python Machine Learning jobs near you

Machine Learning Engineer

Escalon Services, LLC.

Santa Monica, CA • On-site

$100K - $120K/yr

Full-time

Medical, PTO

Posted 28 days ago

Job description

Machine Learning Engineer
Application Deadline: 30 September 2026
Department: Recruiting Done
Employment Type: Full Time
Location: Santa Monica
Compensation: $100,000 - $120,000 / year
Description
About Our Client
Our client is a technology company developing next-generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial computing. Their products support mission-critical applications across defense, public safety, and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced environments and enjoy building impactful products from concept to deployment.
The Role
Our client is seeking a Machine Learning Engineer to help design and implement intelligent systems that extract meaning and predictive value from computer vision and behavioral datasets. This is a junior-level, in-person role suited for candidates with 2-3 years of experience and a solid foundation in deep learning, embeddings, and modern neural architectures.
As a member of the AI team, the ideal candidate will work on projects that leverage CNNs, transformer models, and embedding architectures to encode and reason over pose, facial, and action-based visual data. These systems support downstream tasks such as future action prediction, semantic matching, and similarity-based inference.
Key Responsibilities
  • Design and implement machine learning pipelines that encode visual input (pose, face, object/classification) into shared embedding spaces for similarity and predictive tasks.
  • Build and fine-tune convolutional and transformer-based neural architectures optimized for visual recognition and representation learning.
  • Develop encoding and embedding techniques that allow consistent comparison across multiple data types (e.g., pose vectors, facial landmarks, class labels).
  • Apply techniques such as cosine similarity, distance metrics, and latent clustering to perform behavioural inference and action prediction.
  • Contribute to model training, evaluation, and deployment workflows, including data preprocessing, augmentation, hyperparameter tuning, and performance profiling.
  • Collaborate closely with engineers in computer vision, embedded systems, software, and UI/UX to ensure seamless integration of AI pipelines into real-time systems.
  • Produce clean, well-documented code and maintain version-controlled model artefacts and experiment logs.
  • Write technical documentation for models, training procedures, evaluation criteria, and system integration.

Skills, Knowledge and Expertise
  • Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a closely related discipline.
  • 2-3 years of experience in machine learning roles through internships, academic labs, or early career positions.
  • Strong understanding of Convolutional Neural Networks (CNNs) for image and video-based tasks.
  • Strong understanding of transformer architectures and their applications in vision or multimodal learning.
  • Strong understanding of embedding systems and vector space modeling for semantic and similarity-based tasks.
  • Strong understanding of encoding mechanisms and dimensionality reduction techniques for latent representation.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Familiarity with pose estimation, facial recognition, or classification models (e.g., OpenPose, MediaPipe, FaceNet, ResNet variants).
  • Experience training models with structured and unstructured visual datasets.
  • Exposure to techniques like cosine similarity, triplet loss, contrastive learning, or temporal prediction modeling.
  • Strong computer science fundamentals, including data structures, algorithms, and software design patterns.
  • Comfort working in Linux-based development environments and version control systems (Git).
  • A collaborative mindset, with excellent communication skills and a willingness to learn across domains.

Bonus (Nice to have):
  • Experience integrating vision-based AI models into embedded or robotics systems.
  • Familiarity with ONNX or TensorRT for model optimization and deployment.
  • Background in sequence modeling, recurrent architectures, or video-based action recognition.
  • Exposure to multimodal AI systems that blend image, pose, and metadata representations.
  • Familiarity with techniques like CLIP, DINO, or self-supervised representation learning.
  • Experience with MLOps or training orchestration tools such as MLflow, Weights & Biases, or DVC.

Other Requirements:
  • Must be a US Citizen or a valid Green Card holder. Visa sponsorship is not available for this role at this time.
  • Candidates must reside within a commutable distance of Santa Monica, California.

Benefits
  • Compensation: $100,000 to $120,000 per year
  • Comprehensive health coverage and flexible PTO
  • Opportunity to work on innovative AI, robotics, XR, and autonomous technologies
  • Collaborative multidisciplinary engineering environment
  • Career growth and professional development opportunities

Apply