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Predictive Modeling Jobs in Seattle, WA (NOW HIRING)

Senior Compiler Engineer - AI

Redmond, WA · On-site

$117K - $160K/yr

Preferred : • Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems. • Proven track record of deploying AI/ML solutions in ...

Director Analytics WOTC

Renton, WA · On-site

  • Medical

  • Life

Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value. * Create self-service analytics capabilities that empower teams while maintaining ...

Data Scientist III

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and deploy machine learning algorithms, predictive models, and classification methods to advance cancer research and inform clinical decision making, applying reproducible data processing ...

... predictive modeling, or NLP - Strong programming skills in Python or a related language - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) - Track record of delivering ML/NLP ...

... predictive modeling, or NLP - Strong programming skills in Python or a related language - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) - Track record of delivering ML/NLP ...

The candidate should be comfortable working with large datasets, building predictive models, and generating business insights. This is a fully onsite role in Redmond, WA. Required Skills: * 5+ years ...

Hands-On AI Experience - Practical experience building or supporting AI applications across machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly ...

Data Science Engineer

Seattle, WA

$130K - $156K/yr

This rolerepresentsan end-to-end data scientist involved in everyfacetof every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:

Evolve Finance analytics from reporting to intelligence by developing predictive modeling, AI-powered anomaly detection, driver-based forecasting, and scenario simulation * Serve as the executive ...

Director, Business Intelligence

Seattle, WA · On-site

  • Medical

  • Life

  • Retirement

Evolve Finance analytics from reporting to intelligence by developing predictive modeling, AI-powered anomaly detection, driver-based forecasting, and scenario simulation * Serve as the executive ...

Showing results 41-60

Predictive Modeling information

See Seattle, WA salary details

$11

$66

$94

How much do predictive modeling jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for predictive modeling in Seattle, WA is $66.82, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $77.69 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in predictive modeling, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is predictive modeling?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What are popular job titles related to Predictive Modeling jobs in Seattle, WA?

For Predictive Modeling jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Predictive Modeling jobs in Seattle, WA look for?

The top searched job categories for Predictive Modeling jobs in Seattle, WA are:

Infographic showing various Predictive Modeling job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,977 per year, or $66.8 per hour.

Senior Compiler Engineer - AI

NVIDIA

Redmond, WA • On-site

$117K - $160K/yr

Full-time

Re-posted 21 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

Job Summary:
NVIDIA is a leader in computer graphics and AI technology, seeking a Senior Compiler Engineer with expertise in compiler technologies. The role involves driving innovative solutions in compilers and developer tools through applied machine learning and AI, focusing on building AI-driven compiler intelligence for production pipelines.
Responsibilities:
• Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI.
• Collaborate with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact products.
• Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout.
• Develop and integrate learning-based decision systems into compiler passes, code generation flows, and optimization pipelines.
• Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation.
• Partner with compiler, architecture, and performance teams to validate impact on representative workloads and benchmark suites.
• Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance.
Qualifications:
Required:
• BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools.
• 8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
• Strong knowledge of compilers, code generation, and GPU architecture.
• Demonstrated proficiency in Python and C/C++.
• Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies.
• Hands-on experience with LLVM/MLIR-based compiler development, including optimization passes, code generation, or frontend integration.
• Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.
Preferred:
• Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems.
• Proven track record of deploying AI/ML solutions in production and embedded environments.
• Strong experience integrating LLMs into systems workflows with attention to reliability, latency, and evaluation quality.
• Demonstrated measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads.
• Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993