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Pytorch Developer Jobs in Sandy, UT (NOW HIRING)

AI/ML Engineer

Sandy, UT

$108.90K - $130.70K/yr

AI/ML Engineer Department : IT Reports to : Status : ☐ Exempt ☐ Non-Exempt About the Role The ... PyTorch • Ability to work with structured data (SQL, data frames) and unstructured data (text ...

AI/ML Engineer

Sandy, UT · On-site

$108.80K - $130.70K/yr

AI/ML Engineer Department : IT Reports to : Status : ☐ Exempt ☐ Non-Exempt About the Role The ... PyTorch • Ability to work with structured data (SQL, data frames) and unstructured data (text ...

Senior ML Engineer

Lehi, UT · On-site

$98.10K - $134.70K/yr

Work closely with subject matter experts, product managers, and other engineers to translate ... Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging ...

Senior ML Engineer

Lehi, UT · On-site

$98.10K - $134.70K/yr

Work closely with subject matter experts, product managers, and other engineers to translate ... Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging ...

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... PyTorch or TensorFlow. * Proven ability to deploy ML models into production and work with large ...

Senior ML Engineer

Lehi, UT

$98.10K - $134.70K/yr

Work closely with subject matter experts, product managers, and other engineers to translate ... Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging ...

Senior Machine Learning Engineer

Draper, UT · On-site

$145.70K - $174.80K/yr

Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow , PyTorch , or scikit-learn * Previous experience with OCR extraction and NLP methodologies * Knowledge of AI ...

About the Role Join our Digital Employee Experience team as a Context Engineer and help define an ... PyTorch, or TensorFlow. - Solid understanding of tokenization, prompt formatting, context window ...

About the Role Join our Digital Employee Experience team as a Context Engineer and help define an ... PyTorch, or TensorFlow. - Solid understanding of tokenization, prompt formatting, context window ...

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88.50K - $121K/yr

... related engineering/science domains. Expertise in python and modern ML tooling (PyTorch preferred). Track record of taking models from prototype → rigorous evaluation → adoption by technical ...

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Pytorch Developer information

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What job categories do people searching Pytorch Developer jobs in Sandy, UT look for? The top searched job categories for Pytorch Developer jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Pytorch Developer jobs? Cities near Sandy, UT with the most Pytorch Developer job openings:
Senior Data Scientist

Full-time

Posted 3 days ago


Job description

As a Senior Data Scientist at Epicor, you will be a key contributor in designing, building, and deploying high-impact ML and AI solutions that empower our customers and accelerate product innovation. You will architect machine learning systems, develop models at scale, and shape the end-to-end technical strategy that powers Epicor's analytics and intelligence platform. You will partner closely across engineering, product, and business teams to ensure our ML solutions deliver measurable value. We are seeking applicants with deep technical expertise, strong problem-solving instincts, and a passion for driving innovation with data
What you will be doing:
  • Architect and develop scalable ML and AI solutions, aligning model design and deployment with product and customer needs.
  • Build, train, and optimize machine learning models using Python, ML frameworks, and large-scale data pipelines.
  • Leverage PyTorch, ML SDKs, and GPU-accelerated workflows to support advanced model development and experimentation.
  • Work with large, complex datasets to design robust feature engineering, data processing, and model evaluation approaches.
  • Collaborate cross-functionally with engineering, analytics, finance, and professional services stakeholders to deliver end-to-end ML solutions.
  • Participate in the design of ML system architecture, ensuring reliability, quality, and operational efficiency.
  • Research emerging AI/ML technologies and integrate new capabilities that strengthen Epicor's long-term data science strategy.

What you will likely bring:
  • 6+ years' experience building, deploying, and supporting large-scale analytics, ML, or AI solutions.
  • Advanced proficiency in Python, including development of production-grade ML models.
  • Experience with PyTorch, ML SDKs, and modern machine learning frameworks.
  • Demonstrated success working with large datasets and architecting scalable data science workflows.
  • Experience designing ML system architecture and end-to-end data science solutions.
  • Applied analytics experience with strong analytical thinking and problem-solving skills.
  • Experience collaborating across technical and non-technical teams to drive ML-driven outcomes.

What could set you apart:
  • Experience with GPU-accelerated ML workflows.
  • Familiarity with R for data science or analytics research.
  • Experience writing or interpreting ML/AI whitepapers or applied research.
  • Exposure to big data pipelines and distributed compute environments.
  • Background collaborating with finance or professional services teams on data-driven initiatives.

#LI-HYBRID #LI-MB2
About Epicor
At Epicor, we're truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
We're Proactive, Proud, Partners.
Whatever your career journey, we'll help you find the right path. Through our training courses, mentorship, and continuous support, you'll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we're the essential partners for the world's most essential businesses-the hardworking companies who make, move, and sell the things the world needs.
Competitive Pay & Benefits
  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

  • Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement
Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role- but your experience doesn't match every qualification of the job description, that's okay- consider applying regardless.
We are an equal-opportunity employer.
Recruiter:
Matthew Brady