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Home Based Python Machine Learning Jobs in Tacoma, WA

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

... Python with demonstrated strong coding skills Should Have * Exposure to ML frameworks through ... You build strong foundations in applied ML engineering Pay range and compensation package Based on ...

Indeed

Machine Learning Engineer

Seattle, WA

Experience building ML models in Python; solid software engineering and algorithms fundamentals ... Actual compensation will be determined based on job-related skills, experience, and expertise, as ...

Remitly

Staff Machine Learning Engineer

Seattle, WA

$208K - $260K/yr

Strong programming skills in Python, Go, Scala or a similar language. * Hands-on experience with ML ... Managers also have the flexibility to set higher expectations based on their team's specific needs.

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

$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 · 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 ...

Capgroup

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/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 ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Tacoma, WA

Home Based Python Machine Learning information

See Tacoma, WA salary details

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

As of Jun 21, 2026, the average hourly pay for home based python machine learning in Tacoma, WA is $62.95, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $71.49 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 Tacoma, WA? The most popular types of Python Machine Learning jobs in Tacoma, WA are:
What are popular job titles related to Home Based Python Machine Learning jobs in Tacoma, WA? For Home Based Python Machine Learning jobs in Tacoma, WA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Tacoma, WA look for? The top searched job categories for Home Based Python Machine Learning jobs in Tacoma, WA are:
What cities near Tacoma, WA are hiring for Home Based Python Machine Learning jobs? Cities near Tacoma, WA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you

Machine Learning Engineer - Agentic Retrieval

Zoom Video Communications

Seattle, WA

$332K/yr

Other

Posted 2 days ago

Job description

What you can expect
Zoom is looking for a Machine Learning Engineer to join our Agentic Retrieval team. You will design and build the core retrieval and reasoning systems that power Zoom's AI Companion - enabling AI agents to search, reason over, and act on enterprise knowledge to deliver high- quality, trustworthy, and actionable answers at scale.
About the Team
The Agentic Retrieval team sits within Zoom's GenAI Engineering organization and is responsible for building a multi-tenant, permission-aware retrieval platform. We operate at the intersection of distributed systems, machine learning, and large language models - powering search and answer generation across meetings, chat, docs, and third-party enterprise applications through a layered API architecture (keyword search, natural language search, and agentic RAG-based answer generation).
Responsibilities:
  • Designing and implementing scalable retrieval systems including vector search, hybrid search (keyword + embedding + reranking), and structured query planning.
  • Designing and optimize Retrieval-Augmented Generation (RAG) pipelines for multi-step, tool-using AI agents.
  • Developing ranking, relevance modeling, and evaluation frameworks to improve search quality and answer grounding.
  • Building indexing pipelines that transform heterogeneous enterprise data into unified, retrieval-ready representation.
  • Building entity extraction and NLP pipelines that support agentic reasoning over enterprise content.
  • Partnering with product, infrastructure, and applied research teams to ship production- grade AI capabilities.
What we're looking for
  • Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field.
  • 5+ years of experience in machine learning, search infrastructure, information retrieval, or distributed systems
  • Strong hands-on experience building and operating large-scale search or data platforms in production environments.
  • Have experience building or integrating RAG systems and LLM-based applications in production.
  • Possess proficiency in one or more of: Python, Go, Java, C#, or C++.
  • Solid understanding of information retrieval fundamentals (inverted index, ranking,
    embeddings, hybrid retrieval).
  • Strong system design skills with the ability to reason about scale, reliability, latency, and cost trade-off.

Salary Range or On Target Earnings:
Minimum:
$151,800.00
Maximum:
$332,200.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
07/24/26
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

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