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Machine Learning Research Engineer Jobs in Seattle, WA

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

They are seeking an Applied Machine Learning Engineer to develop products for their clients and the ... Research and implement appropriate ML algorithms and tools • Develop machine learning ...

Meta

Software Engineer, Systems ML

Bellevue, WA · On-site +1

$183K/yr

Meta is seeking a Research Engineer specializing in Systems Machine Learning to help design and build the infrastructure and algorithmic foundations that power large-scale AI systems across Meta ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

... machine learning engineers. We are looking for developers who are excited about staying at the ... You are up-to-date on the latest deep neural net research and architectures, both in understanding ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

... machine learning engineers. We are looking for developers who are excited about staying at the ... You are up-to-date on the latest deep neural net research and architectures, both in understanding ...

Meta

Research Engineer Robotics (Systems)

Redmond, WA

$183K/yr

We are seeking a staff Research Engineer with deep expertise in software engineering, robotic systems integration, and machine learning. This role is highly interdisciplinary -- you will own the end ...

Meta

Research Engineer, Monetization AI

Bellevue, WA

$183K/yr

Research Engineer, Monetization AI Responsibilities: * Develop and implement large-scale model ... Develop and deploy machine learning pipelines * Collaborate with cross-functional teams to design ...

Adobe

Research Engineer

Seattle, WA · On-site

They are seeking a Research Engineer to develop high-performance ML models, focusing on optimizing ... machine learning methods for large scale multimodal models • Experience on diffusion model ...

Xaira Therapeutics

AI Research Engineer

Seattle, WA · On-site

$190K - $280K/yr

About the Role We are seeking an experienced research engineer to join our team. As a critical ... Minimum of five years of industry experience in AI, machine learning, or related roles, with a ...

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All JobsMachine Learning Research Engineer JobsMachine Learning Research Engineer Jobs in Seattle, WA

Machine Learning Research Engineer information

See Seattle, WA salary details

$42.1K

$120.6K

$162.2K

How much do machine learning research engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning research engineer in Seattle, WA is $120,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $118,400.00 per year, depending on experience, location, and employer.

What does a machine learning research engineer do?

A machine learning research engineer develops and improves algorithms and models that enable computers to learn from data. They often work on creating new techniques, testing prototypes, and publishing findings, using tools like Python, TensorFlow, or PyTorch. Their work supports advancing AI capabilities and typically requires strong programming, statistical, and mathematical skills.

How much do ML research engineers make?

Machine Learning Research Engineers typically earn between $90,000 and $150,000 annually, with salaries increasing based on experience, education, and location. Senior roles or those with specialized skills in deep learning, NLP, or computer vision can earn over $200,000. Compensation often includes benefits such as bonuses, stock options, and professional development opportunities.

What does a Machine Learning Research Engineer do?

A Machine Learning Research Engineer develops and improves machine learning models, conducts research to advance AI techniques, and implements scalable algorithms. They work at the intersection of applied research and engineering, leveraging mathematical and statistical methods to optimize performance. Their role involves experimenting with new architectures, analyzing large datasets, and collaborating with data scientists and software engineers to deploy models into production.

What are some common challenges faced by Machine Learning Research Engineers in their daily work?

Machine Learning Research Engineers often encounter challenges such as sourcing and preparing large, high-quality datasets, tuning complex model architectures, and ensuring reproducibility of experimental results. They work closely with cross-functional teams, including data scientists and software engineers, to deploy models in production environments and must frequently adapt to rapidly evolving research. Keeping up with the latest scientific literature and integrating new algorithms into ongoing projects can be demanding but is also rewarding. This collaborative, fast-paced environment provides constant opportunities for learning and professional development.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Engineer position, and why are they important?

A Machine Learning Research Engineer typically needs a strong background in computer science, mathematics, and statistics, often with a graduate degree in a related field. Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with tools for data analysis are crucial, along with relevant certifications being a plus. Strong problem-solving skills, collaboration, and effective communication help drive innovative research and facilitate teamwork. These competencies are essential for developing advanced machine learning models, staying current with evolving technologies, and effectively translating research into real-world applications.

What engineers make $500,000?

Senior machine learning research engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What engineers make $300,000 a year?

Senior machine learning research engineers with extensive experience, advanced skills in deep learning and data science, and often a strong publication record can earn $300,000 or more annually. Compensation varies based on industry, location, company size, and individual expertise, with roles in tech giants and finance firms typically offering higher salaries.
What are popular job titles related to Machine Learning Research Engineer jobs in Seattle, WA? For Machine Learning Research Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Engineer jobs in Seattle, WA look for? The top searched job categories for Machine Learning Research Engineer jobs in Seattle, WA are:
Machine Learning Research Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Adidev Technologies Inc

Seattle, WA • On-site

Full-time

Re-posted 4 days ago

Job description

Role: Machine Learning Engineer
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
• Degree in Computer Science, Engineering, Statistics, or a related technical field.
• Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
• Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
• Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
• Strong foundational understanding of algorithmic complexity and data structure optimization.
• Excellent problem-solving, collaboration, and communication abilities.
• Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
• Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
• Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
• Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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