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Associate Machine Learning Chemistry Jobs in Renton, WA

SID Global Solutions

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

... machine learning to improve material handling, operator workflows, and fulfillment processes. The ... associate experience, operational considerations, and site layout. Vendor & Stakeholder ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

... and machine learning models and workflows. Additionally, you'll support others by being a technical lead in order to support the development of other Associate Data Scientists. This position is a ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

... and machine learning models and workflows. Additionally, you'll support others by being a technical lead in order to support the development of other Associate Data Scientists. This position is a ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

... and machine learning models and workflows. Additionally, you'll support others by being a technical lead in order to support the development of other Associate Data Scientists. This position is a ...

micro1 AI

AI Trainer - Microbiology Expert

Tacoma, WA · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Seattle, WA · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Kent, WA · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Bellevue, WA · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Renton, WA · Remote

$70 - $90/hr

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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All JobsAssociate Machine Learning Chemistry JobsAssociate Machine Learning Chemistry Jobs in Renton, WA

Associate Machine Learning Chemistry information

See Renton, WA salary details

$35.4K

$149.7K

$353.8K

How much do associate machine learning chemistry jobs pay per year?

As of Aug 20, 2026, the average yearly pay for associate machine learning chemistry in Renton, WA is $149,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $227,200.00 per year, depending on experience, location, and employer.

What is an associate machine learning chemistry?

Associate Machine Learning Chemists are professionals who combine expertise in chemistry with skills in machine learning to analyze chemical data, develop predictive models, and accelerate scientific discovery. They often work on tasks like predicting molecular properties, optimizing chemical reactions, and supporting drug discovery efforts using computational tools. Typically, these roles require a strong foundation in chemistry, programming experience (often in Python), and familiarity with machine learning libraries. Associate positions are generally entry-level or early-career roles, providing support to senior scientists and data scientists in research and development teams.

How does an associate machine learning chemistry professional typically collaborate with research scientists and engineers?

As an Associate Machine Learning Chemistry professional, you will frequently work alongside research scientists and chemical engineers to develop predictive models and analyze experimental data. Collaboration involves translating chemical problems into machine learning tasks, sharing insights from model results, and participating in interdisciplinary meetings to refine research objectives. Effective communication and teamwork are essential, as you may be required to explain machine learning concepts to non-technical colleagues and integrate their domain expertise into your models. This collaborative environment fosters both scientific discovery and professional growth.

What are the key skills and qualifications needed to thrive as an associate machine learning chemistry, and why are they important?

To thrive as an Associate Machine Learning Chemistry professional, you need a solid background in chemistry, data analysis, and machine learning, typically supported by a relevant degree such as chemistry, computer science, or a related field. Experience with programming languages like Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and cheminformatics software is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These competencies enable effective collaboration on interdisciplinary teams and the development of innovative solutions in computational chemistry research.

What is the difference between Associate Machine Learning Chemistry vs Associate Data Scientist?

AspectAssociate Machine Learning ChemistryAssociate Data Scientist
Required CredentialsBachelor's or Master's in Chemistry, Data Science, or related fields; familiarity with ML frameworksBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python/R
Work EnvironmentResearch labs, pharmaceutical or chemical companies, biotech firmsTech companies, finance, healthcare, consulting firms
Employer & Industry UsageUsed in industries applying ML to chemical data, drug discovery, materials scienceApplied across industries analyzing large datasets, predictive modeling

Associate Machine Learning Chemistry focuses on applying machine learning techniques specifically to chemical and scientific data, often within research or pharmaceutical settings. In contrast, Associate Data Scientist has a broader scope, working with various data types across multiple industries. Both roles require strong analytical skills and familiarity with ML tools, but their industry focus and data types differ.

What are popular job titles related to Associate Machine Learning Chemistry jobs in Renton, WA?

For Associate Machine Learning Chemistry jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Chemistry jobs in Renton, WA look for?

The top searched job categories for Associate Machine Learning Chemistry jobs in Renton, WA are:

Associate Machine Learning Chemistry jobs near you
Infographic showing various Associate Machine Learning Chemistry job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $149,671 per year, or $72 per hour.

Computer Vision Engineer

SID Global Solutions

Bellevue, WA

$125K - $148K/yr

Full-time

Re-posted 15 days ago

Job description

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This role focuses on designing, developing, and implementing advanced engineering solutions, integrating IIoT hardware, computer vision, and machine learning to improve material handling, operator workflows, and fulfillment processes. The ideal candidate has a strong background in engineering design, computer vision, and applied machine learning, with proven experience driving large-scale projects, collaborating across teams, and delivering impactful outcomes in dynamic operational environments.

Key Responsibilities Lead and manage end-to-end life cycles of complex cross-functional projects spanning organizations and geographies, ensuring delivery of impactful business outcomes. Engineering Solutions: Design and develop engineering solutions for material handling challenges, considering human-equipment interactions and operational excellence. IIoT Development: Develop, configure, and implement IIoT hardware to enhance equipment, processes, and operator workflows.

Simulation & Modeling: Collaborate with Scientists to create advanced simulation models and perform "what-if" scenario testing to drive optimal hardware and process solutions. Concept & Design Leadership: Lead concept efforts for optimal solutions including equipment specifications, material flow, ergonomics, associate experience, operational considerations, and site layout. Vendor & Stakeholder Collaboration: Partner with suppliers, vendors, and internal teams to deliver innovative solutions with scalability and efficiency.

Documentation & Standards: Ensure all solutions are documented with SOPs and/or structured change control, setting standards for engineering excellence. Multi-Project Management: Manage multiple initiatives simultaneously while influencing, negotiating, and communicating effectively with internal and external stakeholders. Thought Leadership: Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives) that set benchmarks for organizational engineering standards.

Consensus Building: Communicate complex ideas clearly, harmonize diverse perspectives, and build consensus to resolve contentious issues. Must-Have Qualifications Proven experience in computer vision (CV) and machine learning (ML) integration for real-time solutions. Strong coding skills (Python, C++, or similar) with the ability to prototype, test, and deploy ML/CV models in production environments.

Demonstrated ability to lead large-scale engineering projects or device development from concept through implementation. Hands-on experience with IIoT hardware design, configuration, and integration for operational improvements. Strong knowledge of system design, material handling, and human-machine interaction principles.

Exceptional program management, communication, and stakeholder management skills. Nice-to-Have Qualifications Advanced Python programming skills for data modelling, simulation, and rapid prototyping. Experience with system emulation and testing environments.

Strong background in cross-functional collaboration within large, fast-paced, and dynamic operational environments. Familiarity with 3D modelling, CAD tools, or hardware prototyping.

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