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Tensorflow Pytorch Jobs in Seattle, WA (NOW HIRING)

Applied Scientist II

Seattle, WA ยท On-site

$168 - $220/hr

TensorFlow, PyTorch, MXNet etc). * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.). What You Should Know About This Team The ...

New

Gen AI Developer

Seattle, WA ยท On-site

$120K - $150K/yr

Must Have Technical/Functional Skills โ€ข Experience in executing projects in Agile Framework โ€ข Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). โ€ข ...

Artificial Intelligence Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch. * Strong knowledge of statistics experimental design and causal inference. * Handson experience with data visualization tools ...

... Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.). * 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production. * 4 to 6 years of ...

TensorFlow, PyTorch, MXNet etc) * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.) * Proven track record in evaluating ...

TensorFlow, PyTorch, MXNet etc) * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.) * Proven track record in evaluating ...

Sr ML Platform Manager

Seattle, WA ยท On-site

$144K - $190K/yr

Proficiency in programming languages such as Python, R, or Java; experience with machine learning frameworks (TensorFlow, PyTorch, etc.); strong understanding of data engineering principles. MLOps ...

Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. How You'll Grow * Passion for leveraging cutting ...

TensorFlow, PyTorch, MXNet etc) * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.) What You Should Know About This Team * The ...

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Tensorflow Pytorch information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 20, 2026, the average yearly pay for tensorflow pytorch in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Seattle, WA?

For Tensorflow Pytorch jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Seattle, WA look for?

The top searched job categories for Tensorflow Pytorch jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Tensorflow Pytorch jobs?

Cities near Seattle, WA with the most Tensorflow Pytorch job openings:

Infographic showing various Tensorflow Pytorch job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Applied Scientist II

Doist

Seattle, WA โ€ข On-site

$168 - $220/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Applied Scientist II

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform - we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention - but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, youโ€™ll be part of a nimble group thatโ€™s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You wonโ€™t have to look to find growth opportunities - ready or not, theyโ€™ll find you. From retail to government to healthcare, weโ€™re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think thatโ€™s work worth doing.

Why We Have This Role

We are looking for talented and innovative Applied Scientist to bring our Core AI Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage. As an Applied Scientist at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems. Crafting models in an agile environment to withstand hyper growth and owning quality from end-to-end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

How Youโ€™ll Find Success

Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning. Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems. Develop and optimize algorithms for building scalable and efficient GenAI applications. Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation. Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development. Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.

Things Youโ€™ll Do
  • Address challenges in products through Large Language Models, Deep Learning and Data Science approaches and publish research papers.
  • Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business.
  • Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community.
  • Work closely with, and incorporate feedback from other specialists, engineers, and product managers.
  • Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity.
  • Contribute to and inspire the Conversational AI, NLP, and Data Science technology roadmap at Qualtrics.
  • Design, build, and evaluate Agentic AI systems to solve complex customer challenges.
What Weโ€™re Looking For
  • Bachelors and Ph.D in Computer Science or related fields.
  • Solid understanding of machine learning fundamentals and tool ecosystem.
  • 3+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
  • Experience with Agentic AI systems, including design, development, and rigorous evaluation of agent performance.
  • Deep learning implementation expertise (TensorFlow, PyTorch etc).
  • Excellent command of at least one modern programming language (preferably Python).
  • Deep understanding of machine learning model life cycle management.
  • Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.
  • Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning.
  • Comfortable working in a fast paced, highly collaborative, dynamic work environment.
  • Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc).
  • Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.).
What You Should Know About This Team

The Core AI organization provides AI/ML research and development services for all product lines. We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth. We identify business needs and define strategies where Qualtrics can most benefit from AI technologies. We stay on top of the latest AI technologies and apply the state of the art to customer business problems. We conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation. We develop agentic applications, spanning both conversational and non-conversational interfaces, to empower our diverse global clientele. We architect robust builder platforms that enable customers to seamlessly design and deploy their own custom agents.

Teamโ€™s Favorite Perks and Benefits
  • $1800 Experience bonus to be used for an "Experience" of your choosing
  • QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team.
  • Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which exist as places for support, allyship, and advocacy.
  • The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act. Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits . Washington State Base Annual Pay Transparency Range $167,500 - $220,000 USD

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