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Home Based Python Machine Learning Jobs in Seattle, WA

Overland AI

Software Engineer, Machine Learning

Seattle, WA · On-site

$120K - $300K/yr

The company leverages over a decade of advanced research in robotics and machine learning, as well ... Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc.

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You are an expert in scripting languages such as Python and/or shell scripts, particularly for data ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You are an expert in scripting languages such as Python and/or shell scripts, particularly for data ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You are an expert in scripting languages such as Python and/or shell scripts, particularly for data ...

Hive

Staff Machine Learning Engineer

Seattle, WA

$200K - $300K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You are an expert in scripting languages such as Python and/or shell scripts, particularly for data ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

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 ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

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 ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

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 ...

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Home Based Python Machine Learning information

See Seattle, WA salary details

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

As of Jul 11, 2026, the average hourly pay for home based python machine learning in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 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 Seattle, WA? The most popular types of Python Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Home Based Python Machine Learning jobs in Seattle, WA? For Home Based Python Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Seattle, WA look for? The top searched job categories for Home Based Python Machine Learning jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Home Based Python Machine Learning jobs? Cities near Seattle, WA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Machine Learning Engineer- Platform

Machine Learning Engineer- Platform

Opendoor

Seattle, WA • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
Opendoor is committed to transforming the homeownership experience and is seeking a Senior Machine Learning Engineer to join their Pricing & ML team. This role involves leading the design and evolution of the platform that powers home pricing through machine learning, collaborating closely with various teams to implement scalable systems and optimize ML workflows.
Responsibilities:
• Lead the design and implementation of services, tooling, and workflows that enable reliable training, deployment, and monitoring of pricing and ML models
• Work closely with researchers and analysts to convert model prototypes into clean, testable, production-ready Python code and systems
• Own and operate model pipelines end-to-end — including data ingestion, training, validation, versioning, deployment, and monitoring
• Design and maintain workflows that support the full ML lifecycle: experimentation, training, evaluation, deployment, and iteration
• Develop and optimize data access patterns and SQL queries over large, complex datasets
• Implement robust automation for key ML lifecycle workflows (e.g., scheduled retraining, rollbacks, A/B tests, canary releases)
• Drive improvements in reliability, observability, performance, and cost-efficiency across ML pipelines and model-serving environments
• Proactively address real-world challenges like data drift, model decay, and changing market conditions in the real estate domain
• Contribute to and help define shared ML infrastructure, patterns, and best practices across the Pricing & ML team
• Lead code reviews and technical design discussions; mentor and support other engineers on ML-adjacent work
• Participate in and help improve on-call and incident response processes for ML systems
Qualifications:
Required:
• 8+ years of experience in software engineering or 6 Years with a Masters or ML engineering, including substantial work with ML-adjacent or production ML workflows
• Strong proficiency in Python, with a track record of writing maintainable, modular, and well-tested production code
• Solid experience working with SQL (queries, joins, indexing, and performance optimization)
• Proven experience owning and operating data pipelines and/or model training/serving pipelines in production or high-stakes environments
• Deep familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration)
• Demonstrated ability to make and communicate technical design decisions and tradeoffs across multiple stakeholders
• Strong collaboration and communication skills, especially when working with data scientists, researchers, and cross-functional partners
• A bias toward impact, learning, and pragmatic solutions in a fast-moving, high-stakes domain
Preferred:
• Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics, marketplaces, risk)
• Familiarity with ML ops concepts and tools (e.g., model serving frameworks, feature stores, experiment tracking, model registries)
• Experience with tools such as MLflow, Airflow, Spark, or Delta Lake
• Experience monitoring model performance in production (e.g., drift detection, quality alerts, dashboards)
• Experience with streaming / event-driven systems (e.g., Kafka) or scheduling/orchestration tools
• Comfort working in a Linux-based, cloud-hosted environment (e.g., AWS)
• Interest in real estate or other messy, high-stakes domains with imperfect data
Company:
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. Founded in 2014, the company is headquartered in Tempe, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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