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Entry Level Pytorch Jobs (NOW HIRING)

PyTorch, TensorFlow, Transformers) * Exposure to Docker containers or container-based development ... entry-level roles. * Exposure to Linux, operating systems, or systems programming preferred.

PyTorch, TensorFlow, Transformers) * Exposure to Docker containers or container-based development ... entry-level roles. * Exposure to Linux, operating systems, or systems programming preferred.

Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or ... Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

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Entry Level Pytorch information

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How much do entry level pytorch jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for entry level pytorch in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level PyTorch developers, and how can they overcome them?

Entry-level PyTorch developers often find it challenging to understand deep learning concepts and efficiently debug model training issues. Navigating PyTorch's dynamic computation graph and troubleshooting errors like shape mismatches or incorrect gradients are common pain points. To overcome these challenges, it's helpful to start with smaller projects, make extensive use of PyTorch's documentation and community forums, and collaborate closely with more experienced team members. Regular code reviews and pair programming can accelerate learning and improve problem-solving skills.

What are the key skills and qualifications needed to thrive as an Entry Level PyTorch Developer, and why are they important?

To thrive as an Entry Level PyTorch Developer, you need a solid understanding of Python programming, fundamental machine learning concepts, and basic knowledge of neural networks, often supported by a relevant degree or coursework. Familiarity with PyTorch, Jupyter Notebook, version control systems like Git, and exposure to cloud platforms or GPU computing is typically expected. Problem-solving abilities, attention to detail, and effective communication help you collaborate and learn quickly in team environments. These skills and qualities are crucial for successfully building, debugging, and deploying machine learning models using PyTorch in real-world projects.

What are entry level PyTorch jobs?

Entry level PyTorch jobs are positions designed for individuals who are new to the field of machine learning or deep learning and have foundational knowledge of PyTorch, a popular open-source machine learning library. These roles typically involve tasks such as building, training, and evaluating neural networks, supporting data preprocessing, and assisting in research or development projects under supervision. Entry level positions may include job titles like Junior Machine Learning Engineer, Deep Learning Intern, or AI Research Assistant. Candidates are usually expected to have a basic understanding of Python, PyTorch fundamentals, and some experience with data science or machine learning projects.
More about Entry Level Pytorch jobs
What cities are hiring for Entry Level Pytorch jobs? Cities with the most Entry Level Pytorch job openings:
What are the most commonly searched types of Pytorch jobs? The most popular types of Pytorch jobs are:
Infographic showing various Entry Level Pytorch job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.
Tech Marketing & Performance Engineer

Tech Marketing & Performance Engineer

HP Development Company, L.P.

Fort Collins, CO โ€ข On-site

$65K - $101K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 3 days ago


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 Responsibilities
ISV 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 & Skills
Required
  • 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 AI-relevant workflows.
  • Performance data (including AI workloads) delivers meaningful insights for engineering, product, and go-to-market 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 $65,600 to $101,000 USD 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's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"