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Executive Pytorch Jobs (NOW HIRING)

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end ... What We're Looking For We are looking for an Account Executive with experience selling highly ...

Enterprise Account Executive

New York, NY · On-site

$280K - $340K/yr

We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: We are seeking an experienced Enterprise Account Executive to join our sales ...

AI Native Account Executive

New York, NY · On-site

$200K - $240K/yr

We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google ... We're hiring an AI Native Account Executive to drive adoption of Fireworks within the most ...

Account Executive

New York, NY · On-site

$280K - $300K/yr

We're backed by Radical Ventures, Inspired Capital, and AI leaders behind PyTorch, Google Cloud TPU ... You'll run executive-level discovery that makes buyers rethink their entire conversion motion. You ...

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Executive Pytorch information

See salary details

$26.5K

$93.6K

$184K

How much do executive pytorch jobs pay per year?

As of Jun 1, 2026, the average yearly pay for executive pytorch in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 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.

More about Executive Pytorch jobs
What cities are hiring for Executive Pytorch jobs? Cities with the most Executive Pytorch job openings:
What are the most commonly searched types of Pytorch jobs? The most popular types of Pytorch jobs are:
What states have the most Executive Pytorch jobs? States with the most job openings for Executive Pytorch jobs include:
Infographic showing various Executive Pytorch job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 95% Physical, 4% Hybrid, and 1% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Executive Business Partner

Thinking Machines Lab

San Francisco, CA • On-site

$200K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago


Job description

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
About the Role
We're hiring an Executive Business Partner to support several technical leaders out of our San Francisco office. You will help our team stay focused and organized, managing personal logistics and any tasks that might fall through the cracks.
This is a non-traditional EA role, requiring creativity in adapting to different people's work styles and the new challenges that emerge at a fast-moving startup. The role entails real autonomy in making decisions without tight supervision.
What You'll Do
  • Manage calendars, schedule meetings, and coordinate travel for 3-4 technical leaders
  • Serve as the primary point of contact between your supported leaders and the rest of the company
  • Support recruiting coordination efforts
  • Track projects and commitments so nothing falls through the cracks
Skills and Qualifications
Minimum qualifications:
  • 4+ years of executive or administrative support experience, ideally in AI labs or tech startups
  • Track record of supporting technical leaders such as engineers or researchers

Preferred qualifications:
  • Track record supporting a diverse team, adapting assistance and communication styles to individual needs
  • Experience managing a satellite office and coordinating across time zones
  • Experience adapting to a fast-changing role and meeting challenges proactively
  • Proven professionalism and discretion with sensitive or personal information
  • Having followed an executive to a new company
Logistics
  • Location: This role is based in San Francisco, CA.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $250,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.