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Research Scientist Optimization Jobs in Renton, WA

Axon

Senior Agentic AI Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

As a research scientist at Axon you will play a crucial role in developing AI solutions that ... ranking optimization, agentic tool use, and grounding LLMs with external knowledge. * Strong ...

Axon

Senior Agentic AI Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

As a research scientist at Axon you will play a crucial role in developing AI solutions that ... ranking optimization, agentic tool use, and grounding LLMs with external knowledge. * Strong ...

Uw

Research Scientist/Engineer 3

Seattle, WA

The Research Scientist/Engineer 3 will play a critical role in supporting and advancing structural ... Experience with protein expression, purification, and cryo-EM sample optimization. Strong ...

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Showing results 21-40

All JobsResearch Scientist Optimization JobsResearch Scientist Optimization Jobs in Renton, WA

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 Aug 20, 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 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 are the key skills and qualifications needed to thrive as a research scientist in optimization?

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 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 are popular job titles related to Research Scientist Optimization jobs in Renton, WA?

For Research Scientist Optimization jobs in Renton, WA, the most frequently searched job titles 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,359 per year, or $70.4 per hour.

Staff Research Scientist - Physical AI / Multimodality

Snowflake

Bellevue, WA • On-site

$236K - $339K/yr

Full-time

Re-posted 8 days ago

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Staff Research Scientist, Physical AI for our AI Research team. You will build the next-generation training and learning platform for physical AI: models that perceive, reason about, and act within structured environments. This is a greenfield (0 to 1) effort at the intersection of representation learning, world models, and policy optimization. You will help define its technical direction from day one.
AS A STAFF RESEARCH SCIENTIST YOU WILL:
  • Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures)
  • Develop latent world models that learn environment dynamics through imagined rollouts, enabling model-based reasoning and planning (Dreamer-style, I-JEPA/V-JEPA families)
  • Architect and implement action/policy model pipelines, including vision-language-action models and diffusion-based policy learning
  • Build generative simulator frameworks that produce controllable, physically plausible future states (video world models in the spirit of Cosmos/Genie/Sora)
  • Develop multimodal generative model capabilities that fuse visual, language, and structured inputs for downstream reasoning and decision-making
  • Lead cross-team technical decisions on training frameworks, data pipelines, and model evaluation infrastructure
  • Drive research-to-production pathways, translating prototype systems into reliable, performant platform capabilities
  • Contribute to the broader research community through publications, open-source releases, and collaboration with academic partners

OUR IDEAL STAFF RESEARCH SCIENTIST, EXOTIC AI WILL HAVE:
  • 8+ years of relevant experience in machine learning engineering, AI research, or a closely related field (or equivalent experience)
  • Deep expertise in at least two of the following: representation learning, world models, reinforcement learning, generative modeling, robotics/embodied AI, or scientific ML
  • Hands-on experience training large-scale models (vision, language, or multimodal) with distributed compute
  • Strong software engineering fundamentals: system design, performance optimization, and production-quality code
  • Demonstrated ability to drive cross-team technical initiatives with ambiguity and limited direction
  • Track record of translating research ideas into working systems at scale
  • MS or Ph.D. in Computer Science, Machine Learning, Robotics, Physics, or a related field, or equivalent experience

BONUS POINTS FOR THE FOLLOWING:
  • Experience with latent dynamics modeling, model-based RL, or physics-informed neural networks (GraphCast, FourCastNet, AlphaFold-style architectures)
  • Contributions to open-source ML frameworks or foundation model training codebases
  • Background in scientific/structured models (molecular modeling, materials science, weather/climate)
  • Experience building controllable video generation or neural simulation environments
  • Publications at top venues (NeurIPS, ICML, ICLR, CVPR, CoRL, RSS)

WHY JOIN OUR AI RESEARCH TEAM AT SNOWFLAKE?
This is a rare opportunity to define a new research direction from the ground up. You won't be maintaining existing systems or iterating on someone else's roadmap. You'll be building the foundational training platform for physical AI at a company with the infrastructure, data scale, and research ambition to make it real. Our team already ships frontier models (Arctic LLM, Arctic Inference) and production agentic systems (Snowflake Intelligence). You'll have the resources of a platform company with the pace and autonomy of a research lab
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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