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Tensorflow Pytorch Jobs in Draper, UT (NOW HIRING)

Proficiency in Python (especially for data workflows) and experience with ML/DL frameworks such as PyTorch, TensorFlow/Keras, CUDA, Hugging Face, and JAX. * Experience designing and deploying ...

NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI * Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus * Knowledge of ETL ...

NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI * Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus * Knowledge of ETL ...

NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI * Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus * Knowledge of ETL ...

AI/ML Engineer

Sandy, UT · On-site

$108.80K - $130.70K/yr

... TensorFlow, or PyTorch • Ability to work with structured data (SQL, data frames) and unstructured data (text, images) • Understanding of machine-learning techniques including regression ...

AI/ML Engineer

Sandy, UT

$108.90K - $130.70K/yr

... TensorFlow, or PyTorch • Ability to work with structured data (SQL, data frames) and unstructured data (text, images) • Understanding of machine‑learning techniques including regression ...

What We're Looking For * 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow. * Proven ability to deploy ML models into ...

Senior ML Engineer

Lehi, UT · On-site

$98.10K - $134.70K/yr

Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). * Solid understanding and hands-on experience with core NLP techniques and ...

Senior ML Engineer

Lehi, UT

$98.10K - $134.70K/yr

Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). * Solid understanding and hands-on experience with core NLP techniques and ...

Experience with deep learning frameworks like TensorFlow or PyTorch. * Familiarity with cloud platforms such as AWS, Azure, or GCP. * Experience with data visualization tools like Tableau or Power BI.

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Tensorflow Pytorch information

See Draper, UT salary details

$35.1K

$114.7K

$183.7K

How much do tensorflow pytorch jobs pay per year?

As of May 31, 2026, the average yearly pay for tensorflow pytorch in Draper, UT is $114,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $127,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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 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 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 Draper, UT? For Tensorflow Pytorch jobs in Draper, UT, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Draper, UT look for? The top searched job categories for Tensorflow Pytorch jobs in Draper, UT are:
What cities near Draper, UT are hiring for Tensorflow Pytorch jobs? Cities near Draper, UT with the most Tensorflow Pytorch job openings:
Infographic showing various Tensorflow Pytorch job openings in Draper, UT as of May 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $114,741 per year, or $55.2 per hour.
Principal Engineer AI/ML

Principal Engineer AI/ML

Adobe

Lehi, UT • Remote

Full-time

Posted 18 days ago


Job description

The Opportunity

We are seeking a highly experienced and innovative Principal Engineer to join the GenStudio Engineering team. This role is ideal for a technical leader who thrives in a fast-paced environment and is passionate about building scalable, high-impact software solutions. You will drive architectural decisions, mentor engineers, and influence the technical direction of GenStudio.

What You'll Do

  • Design, build, test, and maintain AI/ML-based systems and applications that serve as the backbone of scalable, production-ready technology stacks.

  • Frame product features as ML tasks (e.g., classification, recommendation, context engineering).

  • Analyze trade-offs across cost, latency, and accuracy while ensuring compliance with UX, privacy, legal, and security constraints.

  • Assess data distribution (variance, sampling, drift) and manage data labeling workflows involving LLMs, SMEs, or user-generated activity.

  • Organize datasets for training, validation, and testing, and engineer high-quality features using normalization, smoothing, and weighting techniques.

  • Implement and adapt techniques from academic research and industry papers; evaluate algorithmic trade-offs considering data requirements, latency, and runtime.

  • Handle cold-start scenarios and mitigate overfitting/underfitting challenges.

  • Define offline benchmarks and metrics; design and analyze A/B tests to validate online performance.

  • Architect scalable ML systems (e.g., multi-agent, recommender, active learning, multi-stage model training, enterprise search) for both offline and online workflows.

  • Optimize model development and deployment in GPU/TPU environments using PyTorch.

  • Work cross-functionally with data, research, and product teams to translate models into production-ready services.

What You'll Need to Succeed

  • 14+ years of experience in software engineering, with a strong track record of technical leadership.

  • Bachelor's or Master's degree in Computer Science or a related field (or equivalent experience).

  • Proven expertise in Machine Learning and Deep Learning, including model design, optimization, and fine-tuning.

  • Strong understanding of transfer learning principles and their application in production settings.

  • Proficiency in Python (especially for data workflows) and experience with ML/DL frameworks such as PyTorch, TensorFlow/Keras, CUDA, Hugging Face, and JAX.

  • Experience designing and deploying scalable AI/ML systems optimized for GPU/TPU environments.

  • Solid grasp of data engineering concepts-including dataset management, feature engineering, and handling data drift.

  • Ability to balance theoretical ML knowledge with practical, high-performance implementation.

  • Strong understanding of how to transform models into reliable, production-grade services.

Preferred Attributes

  • Recognized as a thought leader within and beyond the organization.

  • Experience mentoring senior engineers and shaping engineering culture.

  • Demonstrated ability to drive innovation and evangelize new technologies.

  • Experience with building GenAI-first applications.

  • Contributions to industry forums, conferences, or open-source communities.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $206,400 -- $379,100 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $261,800 - $379,100

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982