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Director Google Machine Learning Engineer Jobs in Seattle, WA

Experienced in using Google, Amazon NLP APIs to parse data and analyse output * Experienced in ... programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan ...

Experienced in using Google, Amazon NLP APIs to parse data and analyse output * Experienced in ... programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Machine Learning Engineer

Seattle, WA · On-site

$95 - $135/hr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $140K/yr

The role We're adding an Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

The role We're adding an Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

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 ...

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 ...

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

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 Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

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 Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

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 Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud-based commercial software development on Linux * Experience working with Client infrastructure (MLFlow ...

... machine learning engineers. We are looking for developers who are excited about staying at the ... The work you do here will have a noticeable and direct impact on the development of the company.

Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud-based commercial software development on Linux * Experience working with Client infrastructure (MLFlow ...

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 ... The work you do here will have a noticeable and direct impact on the development of the company.

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Director Google Machine Learning Engineer information

See Seattle, WA salary details

$41K

$104.6K

$160.5K

How much do director google machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for director google machine learning engineer in Seattle, WA is $104,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $120,600.00 per year, depending on experience, location, and employer.

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Machine Learning Engineer

Adidev Technologies Inc

Seattle, WA • On-site

$110 - $170/hr

Other

Re-posted 28 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 YouTeaching 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.
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!

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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