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Pytorch Internship Jobs in Colorado (NOW HIRING)

PyTorch, TensorFlow, Transformers) * Exposure to Docker containers or container-based development ... Typically 0-2 years of relevant experience through internships, or academic projects, or ...

Pytorch Internship information

What types of projects and collaborative experiences can I expect during a PyTorch Internship?

During a PyTorch Internship, you can expect to work on hands-on machine learning and deep learning projects that involve developing, testing, and optimizing models using the PyTorch framework. Interns often collaborate closely with research scientists, software engineers, and product teams to contribute to real-world applications and open-source initiatives. You may participate in code reviews, brainstorming sessions, and weekly progress meetings, gaining exposure to both independent tasks and team-based problem-solving. This environment fosters both technical growth and communication skills, preparing you for advanced roles in AI and machine learning.

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

To thrive as a PyTorch Intern, you need a solid background in Python programming, machine learning fundamentals, and familiarity with deep learning concepts, typically evidenced by coursework or project experience. Proficiency in PyTorch, version control systems like Git, and tools such as Jupyter Notebooks is highly valued. Strong problem-solving skills, attention to detail, and effective communication help interns contribute meaningfully to team projects and learn quickly. These skills and qualities are crucial for efficiently developing, testing, and deploying machine learning models in a collaborative environment.

What is the difference between Pytorch Internship vs Machine Learning Intern?

AspectPytorch InternshipMachine Learning Intern
Required SkillsProficiency in Pytorch, Python, deep learning conceptsPython, machine learning algorithms, data analysis
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, research institutions, data-driven companies
Industry UsageDeep learning projects, neural network developmentBroader ML applications, data modeling

Both roles involve working with machine learning, but a Pytorch Internship specifically focuses on deep learning frameworks like Pytorch, while a Machine Learning Intern may work across various ML techniques. The Pytorch Internship is ideal for those specializing in neural networks and deep learning, whereas the Machine Learning Intern role covers a wider range of ML applications.

What is a PyTorch internship?

A PyTorch internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with the PyTorch deep learning framework. Interns typically assist with machine learning projects, develop and test models, and contribute to research or product development involving artificial intelligence. These internships provide valuable exposure to real-world applications of AI, opportunities to collaborate with experienced engineers and researchers, and a chance to enhance programming and problem-solving skills. Many internships also offer mentorship and may lead to full-time roles in the field.
What cities in Colorado are hiring for Pytorch Internship jobs? Cities in Colorado with the most Pytorch Internship job openings:
Tech Marketing & Performance Engineer

Tech Marketing & Performance Engineer

Hp

Fort Collins, CO • On-site

$65K - $101K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 24 days ago


HP rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

59th of 141 rated electronics manufacturers


Job description

Tech Marketing & Performance Engineer

Description -

Tech Marketing and Performance Engineer

Power the systems that power the world's most demanding work.

The Tech Marketing and Performance Engineer plays a foundational role in HP's Workstation business. You'll support HP's high-performance portfolio by executing structured testing and contributing to performance validation efforts. This team works at the intersection of hardware, software, and performance, collaborating with internal engineers and industry partners to help ensure HP workstations deliver reliable and measurable results.

In this role, you will build core technical skills by applying computer science fundamentals and learning Linux-based workflows to execute standardized performance benchmarks, support basic automation, and create clear technical documentation. You'll work on well-defined tasks under guidance from senior engineers, gaining exposure to advanced platforms, emerging AI workflows, and professional computing technologies.

Key ResponsibilitiesISV Software & Platform Support
  • Support validation and testing of professional software applications (ISVs) across HP workstation platforms.
  • Assist with ISV certification testing, executing test plans and documenting results.
  • Quickly learn and navigate complex software applications to support benchmarks, demos, and workflows.
  • Help reproduce issues and gather data for escalation and resolution.
Performance Testing & Analysis
  • Execute standardized benchmark tests aligned to defined customer workflows.
  • Support execution and validation of AI and data science workloads, including emerging use cases (LLMs, inference, etc.).
  • Collect and organize performance data to ensure accuracy and repeatability.
  • Support identification of performance anomalies and assist in investigation efforts.
Linux Development, Automation & Tooling
  • Work in Linux environments using command-line tools to manage systems and execute tests.
  • Contribute to automation tools and scripts for benchmarking, data collection, and test execution.
  • Support development efforts related to:
  • Benchmark automation frameworks
  • AI workflow testing pipelines
  • System setup and environment configuration
  • Assist with Linux-based development and potential environment/container setup.
Technical Documentation & Enablement
  • Create and maintain technical documentation including test procedures, configurations, and performance summaries.
  • Support development of technical demos, workflow walkthroughs, and enablement materials.
  • Help translate performance data into simple, understandable insights for broader audiences.
Collaboration & Professional Development
  • Work with performance engineers, systems engineers, and technical marketing staff.
  • Actively seek opportunities to learn and contribute, demonstrating self-motivation and ownership of assigned tasks.
  • Build technical understanding of:
  • Workstation hardware platforms
  • GPU/CPU performance
  • ISV workflows and AI use cases
Impact & Scope
  • Contributes through execution of performance tests, automation support, and technical deliverables.
  • Works on well-defined problems with guidance, while building technical independence.
  • Gains exposure to AI workflows, professional applications, and real-world systems performance challenges.
Knowledge & SkillsRequired
  • Strong foundation in computer science fundamentals.
  • Python proficiency (hands-on experience beyond coursework strongly preferred)
  • Experience or familiarity with Linux environments and command-line tools
  • Ability to learn quickly and adapt to complex technical applications and workflows
Preferred
  • Experience with AI- data science frameworks (e.g. PyTorch, TensorFlow, Transformers)
  • Exposure to Docker containers or container-based development environments
  • Experience with scripting or automation (Python, Bash, etc.)
  • Familiarity with data science tools or environments
  • Exposure to benchmarking, performance testing, or system-level analysis
Education & Experience
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
  • Typically 0-2 years of relevant experience through internships, or academic projects, or entry-level roles.
  • Exposure to Linux, operating systems, or systems programming preferred.
Success Measures
  • Benchmark and test results are accurate, repeatable, and aligned to standardized and AIrelevant workflows.
  • Performance data (including AI workloads) delivers meaningful insights for engineering, product, and gotomarket teams.
  • Demonstrates growing contribution to automation tools, scripting, and benchmarking infrastructure.
  • Quickly learns complex ISV applications and produces clear, technically accurate documentation.

The pay range for this role is$65,600to$101,000USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)


The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job Posting Expiration Date: 09/25/2026

Job -

Software

Schedule -

Full time

Shift -

Shift 2, 0% premium (United States of America)

Travel -

25%

Relocation -

Not Specified

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


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About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939