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Executive Pytorch Jobs in Bothell, WA (NOW HIRING)

Apple

AIML Security Engineering

Seattle, WA

... executive leadership. We offer- Opportunity to shape AI/ML security strategy at global scale ... Experience with ML frameworks (TensorFlow, PyTorch, Core ML) from a security perspective

AZX

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

... industry executives. The role is initially 70% client delivery and 30% platform development ... Expert-level Python and experience with PyTorch / TensorFlow * Deep expertise in at least one ...

AZX

ML Engineer (Senior)

Seattle, WA

$119K - $163.40K/yr

... industry executives. The role is initially 70% client delivery and 30% platform development ... Expert-level Python and experience with PyTorch / TensorFlow * Deep expertise in at least one ...

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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 3, 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 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.

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 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.

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 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
Strategic Technical Account Manager, AI/ML

Strategic Technical Account Manager, AI/ML

DigitalOcean

Seattle, WA • Remote

$174.24K - $217.80K/yr

Other

Posted 27 days ago

Job description

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You'll Do:

Strategic Relationship Management

  • Own the technical relationship with DigitalOcean's highest-value customers, including Fortune 500 companies and global technology leaders.
  • Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
  • Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer's roadmap to maximize the value of DigitalOcean infrastructure.
  • Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

  • Engage with C-level and VP-level contacts with confidence, clarity, and authority.
  • Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
  • Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

  • Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
  • Assist customers with architectural planning, workload migration, performance tuning, and incident response.
  • Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

  • Own technical success across a portfolio of DigitalOcean's largest and most strategic accounts.
  • Identify opportunities for workload expansion, cost optimization, and operational efficiency.
  • Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
    Lead cross-functional account planning with Account Management, Product, and Engineering.
What You'll Add to DigitalOcean:

Enterprise Customer Experience

  • 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
  • Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
  • Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

  • Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
  • Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
    Programming/scripting in Python, Go, or similar-especially relevant to AI/ML and MLOps use cases.
  • Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
  • Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
  • Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

  • Proven ability to engage with and influence executive decision-makers.
  • Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
  • Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.
Bonus Points
  • Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
  • Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
  • Background in startup or high-growth environments where agility and influence matter.
  • Familiarity with DigitalOcean's developer ecosystem, API, and service portfolio.
Compensation Range: 
  •  $174,240 - $217,800

*This is a remote role

#LI-Remote

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