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Research Scientist Optimization Jobs in Renton, WA

Amazon

Research Scientist III - AMZ9443129

Seattle, WA · On-site

$159K - $215K/yr

Research Scientist III Job Location: Seattle, Washington Job Number: AMZ9443129 Position ... Design, prototype, analyze, and improve optimization models which are crucial components of our ...

Chewy

Research Scientist II

Bellevue, WA · On-site +1

$131K - $211K/yr

Research Scientist II Bellevue, WA - Supply Chain - Full time - R29866 What you'll do: * Develop ... Optimization, machine learning, and data science with practical experience in developing and ...

Chewy

Research Scientist II

Bellevue, WA · On-site

$131K - $211K/yr

Research Scientist II Bellevue, WA - Supply Chain - Full time - R29866 What you'll do: * Develop ... Optimization, machine learning, and data science with practical experience in developing and ...

Amazon

Research Scientist, Last Mile

Bellevue, WA · On-site

Last Mile Science team owns the core decision models in the space of jurisdiction planning ... Optimizing the last mile delivery requires deep understanding of transportation, supply chain ...

Uw

Research Scientist/Engr 1

Seattle, WA · On-site

$84K/yr

About this Opportunity The Research Scientist 1 (RS1) will join a predominantly wet-lab group ... ML-guided iterative enzyme evolution Novel recombinase testing and optimization Molecular biology ...

Uw

Research Scientist/Engineer 1

Seattle, WA · On-site

$57K/yr

About this Opportunity Reporting to a Research Professor , the Research Scientist/Engineer 1 is ... Learn new techniques as required for optimal job performance. Animal Studies (10%): * They will ...

Uw

Research Scientist/Engr 2

Seattle, WA · On-site

$96K/yr

About this Opportunity The Research Scientist 2 (RS2) will join a predominantly wet-lab group ... ML-guided iterative enzyme evolution Novel recombinase testing and optimization Molecular biology ...

Uw

Research Scientist/Engineer 2

Seattle, WA

... for optimization of intact protein mixtures, antibodies Process and deconvolute results via ... research assistants. (5%) Present scientific data, attend meetings and team building events.

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Research Scientist Optimization information

See Renton, WA salary details

$56.8K

$146.4K

$195.7K

How much do research scientist optimization jobs pay per year?

As of Jun 7, 2026, the average yearly pay for research scientist optimization in Renton, WA is $146,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $194,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Research Scientist in Optimization, and why are they important?

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What does a Research Scientist in Optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

What types of projects and collaborations can a Research Scientist in Optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

What is the difference between Research Scientist Optimization vs Data Scientist?

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

What job categories do people searching Research Scientist Optimization jobs in Renton, WA look for? The top searched job categories for Research Scientist Optimization jobs in Renton, WA are:
What cities near Renton, WA are hiring for Research Scientist Optimization jobs? Cities near Renton, WA with the most Research Scientist Optimization job openings:
Research Scientist Optimization jobs near you
Infographic showing various Research Scientist Optimization job openings in Renton, WA as of May 2026, with employment types broken down into 54% Full Time, 26% Part Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $146,359 per year, or $70.4 per hour.

Research Scientist

Open Universal Machine Intelligence

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 29 days ago

Job description

About Oumi
Why we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely. By providing the safest, highest quality, and most flexible AI, we aspire to unlock positive impact for every individual, enterprise, and humanity overall.
What we do: Oumi provides an end-to-end, AI-native platform to build custom AI models in hours, not months -automating the loop of evaluation, data synthesis, training, and repeat. Oumi also develops an open research stack and models in collaboration with academic collaborators and the open community.
Our Approach: Oumi is built on a foundation of open source, with open collaboration at the heart of everything we do. Our work is:
  • Research-driven: We conduct and publish original AI research, working closely with academic research labs and collaborators across the globe.
  • Community-powered: We believe in the strength of open collaboration and actively welcome contributions from researchers and developers worldwide.
  • Accessibility-focused: We design Oumi to help any organization-regardless of size or resources-effectively build, deploy, and benefit from AI by lowering barriers to access, experimentation, and adoption.

Role Overview
The Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development.
What you'll do:
  • Model Development: Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods.
  • Data Curation: Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques.
  • Benchmark Development: Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains.
  • Research and Experimentation: Design and conduct experiments to validate research hypotheses and improve model performance.
  • Open Source Contribution: Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries.
  • Collaboration: Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI.
  • Publication: Publish research findings in leading conferences and journals.
  • Platform Evaluation: Evaluate existing models and identify areas of improvement.
  • Flexibility: Work with various models, including text and multimodal models, and both open and closed models.
  • Problem Solving: Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back.

What you'll bring:
  • Education: A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered.
  • Research Experience: Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals.
  • ML Expertise: Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs).
  • Programming Skills: Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch).
  • Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.
  • Initiative: A self-starter who can work independently and take ownership of initiatives.
  • Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.

Benefits
  • Equity in a high-growth startup
  • Comprehensive health, dental and vision insurance
  • 21 days PTO
  • Regular team offsites and events
Location:
  • Hybrid work environment, with offices in:
    • San Mateo, CA
    • Seattle, WA
    • New York, NY

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