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Executive Pytorch Jobs in Bothell, WA (NOW HIRING)

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Communicate complex technical concepts to non-technical audiences and executive leadership * Stay ... Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

Communicate effectively across technical and non-technical audiences, including executive ... PyTorch, spaCy, and/or Hugging Face. * Strong understanding of statistical modeling, regression ...

Workday

Principal AI Researcher

Seattle, WA

... as PyTorch, JAX, or TensorFlow. * 2+ years of deep expertise in LLMs or VLMs, specifically in ... and executive stakeholders. * Ethics & Trust: A deep commitment to developing AI that is ...

LVT

Staff Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey ... Own the read/write libraries and integrations researchers depend on PyTorch/Lightning dataloaders ...

LVT

Staff Data Engineer

Seattle, WA

$130K - $156K/yr

Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey ... Own the read/write libraries and integrations researchers depend on PyTorch/Lightning dataloaders ...

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All JobsExecutive Pytorch JobsExecutive Pytorch Jobs in Bothell, WA

Executive Pytorch information

See Bothell, WA salary details

$29.6K

$104.6K

$205.7K

How much do executive pytorch jobs pay per year?

As of Jun 26, 2026, the average yearly pay for executive pytorch in Bothell, WA is $104,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $134,700.00 per year, depending on experience, location, and employer.

What is the difference between Executive Pytorch vs Machine Learning Engineer?

AspectExecutive PytorchMachine Learning Engineer
Required CredentialsAdvanced degrees in CS, AI, or related fields; experience with PytorchDegree in CS, Data Science, or related; proficiency in Pytorch
Work EnvironmentLeadership roles, strategic planning, overseeing AI projectsHands-on development, coding, model training
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, startups, research labs
Common Search & ComparisonOften compared for leadership vs technical roles in AITechnical implementation vs strategic oversight

Executive Pytorch roles focus on strategic leadership, project oversight, and high-level decision-making in AI projects, often requiring advanced degrees and experience. Machine Learning Engineers are more hands-on, involved in developing and deploying models using Pytorch. Both roles are vital in AI development but differ in responsibilities and work environment.

What are Executive PyTorch professionals?

Executive PyTorch professionals are leaders or decision-makers who oversee projects or teams that utilize PyTorch, an open-source machine learning framework. They are responsible for setting strategic direction, managing resources, and ensuring that machine learning initiatives align with organizational goals. These executives typically have a strong understanding of both business strategy and the technical capabilities of deep learning frameworks like PyTorch. Their role may involve collaborating with data scientists, engineers, and stakeholders to drive innovation and deliver value through AI solutions.

How does an Executive PyTorch professional typically collaborate with cross-functional teams to drive AI initiatives?

An Executive PyTorch professional often works closely with data scientists, machine learning engineers, product managers, and business stakeholders to align technical AI solutions with organizational goals. They may oversee the design and deployment of PyTorch-based models, ensure that project timelines are met, and facilitate knowledge sharing between technical and non-technical teams. Effective collaboration involves translating business needs into actionable machine learning projects and ensuring seamless integration of models into products or services. This role frequently requires balancing high-level strategic decisions with an understanding of the technical challenges faced by the team.

What are the key skills and qualifications needed to thrive as an Executive specializing in PyTorch, and why are they important?

To thrive as an Executive specializing in PyTorch, you need a deep understanding of machine learning, AI strategy, and business management, typically supported by advanced degrees in computer science or engineering and proven leadership experience. Familiarity with PyTorch, cloud computing platforms, and data management systems, as well as certifications in AI or project management, are often expected. Strong leadership, communication, and strategic vision are crucial soft skills that set successful executives apart. These skills and qualifications are vital for aligning technical capabilities with organizational goals and driving innovation and growth.
What are popular job titles related to Executive Pytorch jobs in Bothell, WA? For Executive Pytorch jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Executive Pytorch jobs in Bothell, WA look for? The top searched job categories for Executive Pytorch jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Executive Pytorch jobs? Cities near Bothell, WA with the most Executive Pytorch job openings:
Executive Pytorch jobs near you
Principal Machine Learning Engineer, Content ML, Level 7

Principal Machine Learning Engineer, Content ML, Level 7

Snapchat

Seattle, WA

Full-time

Medical

Posted 27 days ago

Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We're looking for a Principal Machine Learning Engineer to join the Content ML team at Snap! We build large-scale recommender systems for all of Snap's video content products.

What you'll do

  • Lead the vision and roadmap for Snap's large-scale recommendation systems, elevating content discovery and personalization across Spotlight, Discover, and Friend Stories.

  • Technically lead a group of talented engineers from Content ML and Platform teams to operate and scale the existing recommender system.

  • Work with cross-team ML, Infra, and Research partners to design the next-gen recommender system and incorporate SOTA industry research in recommendation systems, foundation models, multimodal signal understanding, deep user understanding, and related areas. We actively participate in and publish at top-tier conferences.

  • Partner with engineers, product managers, research scientists, data science, and leadership to align on ML strategy and ensure technical investments support long-term company priorities.

  • Advance the ML tech stack for recommendations, improving scalability, efficiency, reliability, and overall system performance.

  • Stay up to date on emerging trends and advancements in the RecSys landscape and proactively identify opportunities to leverage these developments to further enhance Snap's content capabilities.

  • Advocate for and implement best practices in availability, scalability, experimentation rigor, operational excellence, and cost management.

Knowledge, Skills & Abilities

  • Deep understanding of RecSys architectures and experience applying them to real-world production systems.

  • Strong foundation in machine learning, deep learning, and large-scale recommendation/ranking systems.

  • Experience leading teams or roadmaps focused on recommendations and/or personalization.

  • Ability to design, train, deploy, and optimize state-of-the-art machine learning models for performance, reliability, and scale.

  • Excellent programming and software engineering skills, with an emphasis on clean design and production-readiness.

  • Ability to quickly learn new technologies and apply them effectively in ambiguous problem spaces.

  • Skilled at solving complex technical challenges, influencing architecture decisions, and driving execution across multi-stakeholder environments.

  • Strong collaboration, communication, and mentorship abilities.

Minimum Qualifications

  • 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ years of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience

  • 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization

  • Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases

Preferred Qualifications

  • Advanced degree in a related field such as machine learning, computer vision, or mathematics

  • Experience with large-scale recommendation/ranking systems, multimodal modeling, or retrieval architectures

  • Experience with TensorFlow, PyTorch, or related deep learning frameworks

  • Background in integrating recommendation models into production pipelines

  • Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment

  • Experience contributing to AI publications

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $276,000-$414,000 annually.


Zone B:

The base salary range for this position is $262,000-$393,000 annually.

Zone C:

The base salary range for this position is $235,000-$352,000 annually.This position is eligible for equity in the form of RSUs.

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