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Executive Pytorch Jobs in Bothell, WA (NOW HIRING)

Redapt

AI/ML Engineer

Woodinville, WA · On-site

$130K - $140K/yr

... executives to uncover innovative ways to apply advanced analytics techniques to solve business ... Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL. * Azure ML, Vertex AI ...

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 · On-site

$291.50K - $369.10K/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 ...

Cisco

Principal Machine Learning Engineer

Seattle, WA

$291.50K - $369.10K/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 ...

Costco Wholesale

Principal Architect - AI

Seattle, WA · On-site

... for executives and technical teams. • Demonstrates a strong understanding and passion for ... as TensorFlow/PyTorch etc. • Experience designing MLOps pipelines (MLflow/Kubeflow) and ...

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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 4, 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
AI/ML Engineer

AI/ML Engineer

Redapt

Woodinville, WA • On-site

$130K - $140K/yr

Full-time

Posted 17 days ago

Job description

AI/ML Engineer
Location: Woodinville, WA
Details: Hybrid
Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.
We are looking for a versatile AI/ML Engineer who can lead, sell, design, and implement modern architecture for a diverse set of customers and industries. The ideal candidate would have deep experience in designing high-value advanced analytics solutions utilizing popular analytical frameworks running on Azure, GCP, and AWS. This position will be responsible for leading customer conversations, creating and presenting project architecture, and leading delivery.
Primary responsibilities include mentoring and leading other consultants, leading pre-sales workshops with finance and technology executives to uncover innovative ways to apply advanced analytics techniques to solve business problems in new ways. The role can be hands-on when necessary but should have Direct delivery experience to recommend technologies, solutions, and help troubleshoot.
Responsibilities:
  • Drive growth through business development, resourcing, and quality delivery.
  • Monitor business impact and value generation of analytics projects.
  • Help create go-to-market strategies around advanced AI/ML Services and hardware.
  • This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals.
  • Create proposals and SOWs.
  • Work closely with sales and other practice leaders to recommend strategies to grow our data science services.
  • Manage full sales cycles, end-to-end, for high potential clients.
  • Evaluate business impact and priority initiatives for our portfolio of managed analytics customers.
  • Talent Leadership and Product Ownership.
  • Help with planning and staffing for data science projects.
  • Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations.
  • Train the data science team on best practices and new technology initiatives.
  • Anticipate the impact of new technologies and frameworks and help create compelling data science offerings to our clients.

Skills you bring with you:
  • Knowledge of how to use data science/AI/ML techniques in operations to impact corporate financials.
  • Working knowledge of DevOps process (CI/CD) applied to data science and ML ops.

Qualifications:
  • Bachelor's or Master's Degree in Advanced Math, Data Science, or Computer Science.
  • 5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies including but not limited to:
  • Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL.
  • Azure ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake
  • ELT/ELT/Pipeline Design, Data Modeling, Spark, Airflow/DBT and API Integration Patterns

Nice to have:
  • LLM's, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns

The base salary range for this full-time position in the US is $130,000 - $140,000annually + bonuses + benefits. Redapt salary ranges are determined by role, level, and location. The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience. Please note that the compensation details listed in the US role postings reflect the base salary only, and do not include bonuses or benefits.
Equal Employment Opportunity:
Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.
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