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Machine Learning Infrastructure Engineer Jobs in Seattle, WA

Senior Cloud Infrastructure Engineer

Seattle, WA ยท On-site

$123K - $167K/yr

... Engineer - Infrastructure, you will design, build, and operate scalable, cost-efficient cloud ... machine learning workloads, data systems, and production services. You will help ensure our ...

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Infrastructure Engineer

Seattle, WA ยท On-site

$130K - $240K/yr

Maxana is seeking an experienced Infrastructure Engineer for a confidential client - a fast-growing ... Learning and development stipend * Working at the forefront of AI infrastructure at scale

Infrastructure Engineer

Seattle, WA ยท On-site

$130K - $240K/yr

Maxana is seeking an experienced Infrastructure Engineer for a confidential client -- a fast ... Learning and development stipend * Working at the forefront of AI infrastructure at scale

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Machine Learning Infrastructure Engineer information

See Seattle, WA salary details

$52.9K

$144.6K

$207.1K

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

As of Jul 15, 2026, the average yearly pay for machine learning infrastructure engineer in Seattle, WA is $144,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $160,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Infrastructure Engineers, and how can these be addressed on the job?

Machine Learning Infrastructure Engineers often face challenges such as ensuring infrastructure scalability, managing resource allocation, and maintaining system reliability while supporting rapid experimentation by data science teams. Balancing the needs for flexibility in research environments with production-grade stability requires a deep understanding of both engineering best practices and the unique requirements of machine learning workflows. Collaboration with data scientists, clear communication about infrastructure capabilities, and staying current with fast-evolving technologies are key strategies for success. Most companies encourage ongoing learning and provide opportunities to contribute to architecture decisions, which makes this a rewarding environment for problem-solvers and innovators.

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

To thrive as a Machine Learning Infrastructure Engineer, you need a strong background in computer science, cloud computing, distributed systems, and experience with machine learning frameworks, often supported by a degree in a related field. Familiarity with tools such as Docker, Kubernetes, Terraform, as well as cloud platforms like AWS, GCP, or Azure, and certifications in cloud or DevOps technologies are highly valued. Strong problem-solving abilities, effective communication, and collaboration skills help engineers work seamlessly with data scientists and cross-functional teams. These skills are essential to design, implement, and maintain robust, scalable infrastructure that enables efficient machine learning development and deployment.

What is a Machine Learning Infrastructure Engineer job?

A Machine Learning Infrastructure Engineer designs, builds, and maintains the systems that support the development and deployment of machine learning models. This includes managing data pipelines, optimizing model training and inference, and ensuring scalability and reliability in production environments. They work closely with data scientists, ML engineers, and DevOps teams to create efficient workflows and infrastructure. Key technologies often include cloud platforms, containerization, orchestration tools, and distributed computing frameworks.

What are popular job titles related to Machine Learning Infrastructure Engineer jobs in Seattle, WA? For Machine Learning Infrastructure Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Infrastructure Engineer jobs in Seattle, WA look for? The top searched job categories for Machine Learning Infrastructure Engineer jobs in Seattle, WA are:
Machine Learning Engineer

Machine Learning Engineer

Adidev Technologies Inc

Seattle, WA โ€ข On-site

Full-time

Re-posted 6 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:
โ€ข Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
โ€ข Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
โ€ข Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
โ€ข Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
โ€ข Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
โ€ข Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
โ€ข Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
โ€ข Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
โ€ข Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
โ€ข Degree in Computer Science, Engineering, Statistics, or a related technical field.
โ€ข Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
โ€ข Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
โ€ข Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
โ€ข Strong foundational understanding of algorithmic complexity and data structure optimization.
โ€ข Excellent problem-solving, collaboration, and communication abilities.
โ€ข 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.
โ€ข Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
โ€ข Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
โ€ข Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
โ€ข Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
โ€ข Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
โ€ข Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
โ€ข 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