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Home Based Python Machine Learning Jobs in Ontario, CA

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... Strong coding skills in Python/TypeScript and a strong foundation in software engineering best ...

Sr Engineer, AI (ECG)

Irvine, CA · On-site

$140K - $170K/yr

This role drives innovation in ECG-based measurement, including heart rate, rhythm analysis, and ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... Strong coding skills in Python/TypeScript and a strong foundation in software engineering best ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Proficiency in programming languages such as Python and database management including SQL * Strong ... Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar

Proficiency in programming languages such as Python and database management including SQL * Strong ... Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar

Proficiency in programming languages such as Python and database management including SQL * Strong ... Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques. Proficiency in Python, TensorFlow, PyTorch, and/or PySpark. Ability to translate ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$129K - $171K/yr

Responsibilities : • Design, build, and maintain GPU based infrastructure for machine learning ... Python or similar languages. • Experience building and maintaining machine learning pipelines ...

Data Scientist

Irvine, CA · Hybrid

$150K - $180K/yr

Successfully moved several machine learning models from prototype to production, delivering real business results. * Skilled in Python and its tools like Pandas, PyTorch and TensorFlow. * Strong SQL ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Strong programming skills in Python or similar languages. * Experience building and maintaining ...

WHAT YOU'LL DO Viant's Machine Learning team is at the forefront of transforming the Ad Tech ... Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index)

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Strong programming skills in Python or similar languages. * Experience building and maintaining ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Strong programming skills in Python or similar languages. * Experience building and maintaining ...

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Home Based Python Machine Learning information

See Ontario, CA salary details

$13

$59

$87

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

As of Jul 10, 2026, the average hourly pay for home based python machine learning in Ontario, CA is $59.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $67.74 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 Ontario, CA? For Home Based Python Machine Learning jobs in Ontario, CA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Ontario, CA look for? The top searched job categories for Home Based Python Machine Learning jobs in Ontario, CA are:
What cities near Ontario, CA are hiring for Home Based Python Machine Learning jobs? Cities near Ontario, CA with the most Home Based Python Machine Learning job openings:

Senior Machine Learning Platform Engineer

FieldAI

Irvine, CA • On-site

$112K - $154K/yr

Full-time

Re-posted 17 days ago


Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Get To Do:
  • Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation).
  • Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
  • Build and operate data systems for large-scale video ingestion, indexing, and storage.
  • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
  • Ensure reliability and observability with monitoring, logging, and alerting.
  • Collaborate with AI/ML Engineers to productionize workflows.
  • Optimize infrastructure for performance and cost across cloud and edge.
  • Enforce best practices in security, compliance, and maintainability.
  • Mentor and manage junior engineers, providing technical guidance and career development.
What You Have:
  • Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience).
  • 4+ years of industry experience in ML infrastructure or platform engineering.
  • Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.
  • Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless.
  • Hands-on experience building ML pipelines for distributed training and large-scale inference.
  • Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets.
  • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation.
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
  • Experience with system monitoring and observability in production.
The Extras That Set You Apart:
  • Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval.
  • Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray).
  • Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS).
  • Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.
  • Strong knowledge of security and compliance in ML and cloud environments.
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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