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Executive Pytorch Jobs in Bothell, WA (NOW HIRING)

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

Our team is close-knit & highly driven, you'll work directly with our CEO and entire team * We're ... Proficiency in Python and experience with ML frameworks (e.g., PyTorch). * Strong experience with ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

Our team is close-knit & highly driven, you'll work directly with our CEO and entire team * We're ... Proficiency in Python and experience with ML frameworks (e.g., PyTorch). * Strong experience with ...

AZX

Senior Engineer (Full Stack)

Seattle, WA · On-site

$140K - $225K/yr

... executives. What you will do You will work on software projects in client engagements, and ... Sk-learn, xgboost, Pytorch/Tensorflow/JAX, Onnx... * Additional database types such as graph or ...

Cisco

Principal Machine Learning Engineer

Bellevue, WA

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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 ...

Cisco

Principal Machine Learning Engineer

Seattle, WA

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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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 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

Principal Machine Learning Engineer

Cisco

Bellevue, WA • On-site

Full-time

Posted 28 days ago

Cisco Systems rating

8.0

Company rating: 8.0 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

47th of 139 rated electronics manufacturers

Job description

Job Summary:
Cisco, through its company Splunk, is building a safer, more resilient digital world with a focus on AI and foundation models. The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment with organizational objectives.
Responsibilities:
• Set and Drive Vision: Define and champion the strategic vision for AI and foundation models across Splunk and Cisco platforms, shaping the research and technology roadmap to anticipate and address industry‑defining challenges.
• Architect and Lead Breakthroughs: Lead the end‑to‑end lifecycle of research, design, and deployment for large‑scale foundation models targeting machine‑generated data, with deep focus on logs and complementary modalities (time series, traces, events).
• Influence at Scale: Partner with executive leadership, engineering, product, and data science teams to ensure AI solutions align with broader organizational objectives, product strategies, and customer needs.
• Mentorship and Thought Leadership: Cultivate organizational excellence by mentoring senior technical talent, fostering research communities, and driving best practices in AI across global teams.
• Foster Innovation: Embed cutting‑edge research and technological advances into products, driving sustained competitive advantage and transformation at enterprise scale.
Qualifications:
Required:
• PhD in Computer Science, or related quantitative field, plus 7+ years of industry research experience.
• Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling.
• Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Experience translating research ideas into production systems.
Preferred:
• Deep NLP & Domain‑Adapted LLMs: Background in building and adapting large‑scale language models (e.g., T5, BERT, LLaMA, GPTs) for specialized domains including structured/unstructured logs, text, and event sequences.
• Log Analytics Expertise – In‑depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.
• Advanced Anomaly Detection – Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time logs data.
• Multi‑Modal AI Modeling – Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.
• Large‑Scale Training & Optimization – Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.
• MLOps & Continuous Learning – Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.
• Strong Research Track Record – Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications.
Company:
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press. Founded in 1984, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Cisco Systems employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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