ZipRecruiter

Log In

2

Part Time Tensorflow Jobs (NOW HIRING)

Pika

Research Intern (BS/MS/PhD)

Palo Alto, CA · On-site

Flexible part-time and full-time internship terms are available. What You'll Do * Work directly on ... Proficiency in Python and ML toolkits (such as PyTorch, TensorFlow, etc.). * Prior exposure to ...

John Deere

$15 - $40/hr

The Part-Time Student Program is primarily designed to augment the Company's regular full-time ... Experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow.

New

The Pennsylvania State University

$21/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... Experience with at least one deep learning framework such as PyTorch or TensorFlow * Understanding ...

Weekday AI

Insurance Policy Administration AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... Hands-on experience with data analysis tools (Python, SQL) and AI frameworks (TensorFlow, PyTorch ...

Weekday AI

Insurance Claims Management AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... Hands-on experience with machine learning frameworks (e.g., Python, TensorFlow, PyTorch) and data ...

Weekday AI

Computer Vision Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Hands-on experience with frameworks such as PyTorch , TensorFlow , or similar computer vision ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Experience with industry-standard frameworks such as PyTorch , TensorFlow , Hugging Face ...

previous pagenext page

Showing results 21-40

All Jobspart time JobsPart Time Tensorflow Jobs

Part Time Tensorflow information

See salary details

$37.5K

$122.7K

$196.5K

How much do part time tensorflow jobs pay per year?

As of Sep 5, 2026, the average yearly pay for part time tensorflow in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a part time TensorFlow developer?

Part-time TensorFlow jobs are positions that involve working with the TensorFlow machine learning framework on a reduced or flexible schedule, rather than full-time hours. These roles may include tasks such as developing, training, and deploying machine learning models, often for specific projects or short-term needs. Part-time TensorFlow jobs are ideal for students, freelancers, or professionals seeking flexible work arrangements while applying their expertise in artificial intelligence and deep learning.

What are the key skills and qualifications needed to thrive as a part time TensorFlow developer?

To excel as a Part-Time TensorFlow Developer, you need a solid grounding in Python programming, mathematics, and machine learning principles, often demonstrated by a relevant degree or coursework. Familiarity with TensorFlow, Keras, and tools like Jupyter Notebook or Git is typically required, and certifications in TensorFlow or related AI technologies are advantageous. Strong problem-solving, time management, and clear communication skills help you deliver quality results efficiently, especially in a part-time capacity. These competencies ensure effective model development and deployment, as well as smooth collaboration on distributed or flexible teams.

What are some common challenges faced by part time TensorFlow developers, and how can they overcome them?

Part-time TensorFlow developers often face challenges such as staying up-to-date with rapid advancements in machine learning, managing time effectively to meet project deadlines, and integrating their work with full-time team members. To overcome these, it’s helpful to maintain clear communication with the team, prioritize continuous learning through online resources, and use collaborative tools like Git for version control. Additionally, participating in regular code reviews and team meetings ensures alignment and smooth integration of your contributions.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and familiarity with TensorFlow frameworks. Such positions are common in tech companies, research institutions, and industries focused on artificial intelligence and data analysis.
More about Part Time Tensorflow jobs

What cities are hiring for Part Time Tensorflow jobs?

Cities with the most Part Time Tensorflow job openings:

What are the most commonly searched types of Tensorflow jobs?

The most popular types of Tensorflow jobs are:

What job categories do people searching Part Time Tensorflow jobs look for?

The top searched job categories for Part Time Tensorflow jobs are:

Part Time Tensorflow jobs near you
Infographic showing various Part Time Tensorflow job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Intern (BS/MS/PhD)

Pika

Palo Alto, CA • On-site

Full-time, Part-time, Internship

Re-posted 4 days ago

Job description

About the Role
At Pika, we are shaping the future of creative infrastructure with real-time, multimodal generation and intelligent agentic platforms. We are looking for passionate Research Interns at the BS, MS, or PhD level with significant experience working on Videogen to join our team and make an immediate impact. In this role, you will directly contribute to mid-training and post-training efforts for Videogen models and support advanced generative systems. Familiarity with multimodal large language models (MLLMs) is valued as a bonus.
This internship is ideal for students and researchers who have hands-on Videogen experience, are excited to work at the intersection of generative AI and multimedia, and are eager to make meaningful contributions alongside top AI talent. Flexible part-time and full-time internship terms are available.
What You'll Do
  • Work directly on large-scale mid-training, post-training, and optimization efforts for Videogen models.
  • Design, prototype, and refine algorithms for high-throughput video and multimedia data pipelines.
  • Collaborate with experienced researchers and engineers on advanced AI and video generation technology.
  • Apply new research techniques and production-scale workflows to deploy Videogen advancements into real-world applications.

What We're Looking For
  • BS, MS, or PhD-level backgrounds, with demonstrated Videogen experience strongly preferred.
  • Expertise in video generation models or frameworks.
  • Proficiency in Python and ML toolkits (such as PyTorch, TensorFlow, etc.).
  • Prior exposure to multimodal LLM inference, generative models, or related areas is a bonus.
  • Fast learner who can adapt to new research and technologies quickly.
  • Excellent communicator and effective team collaborator.

What We Offer
  • Flexible internship: part-time or full-time roles available
  • Unique opportunity to make an immediate impact with Videogen and generative AI research
  • Mentorship and collaboration with innovative researchers and engineers
  • Competitive compensation and a dynamic, mission-driven environment
  • Onsite work setup, with headquarters in Palo Alto, CA

About Pika
Pika empowers creators by building cutting-edge agentic and multimedia platforms. Our mission is to remove technical barriers and make real-time generative and intelligent orchestration accessible to everyone. If you are ready to accelerate your AI career, hone your video generation expertise, and contribute to the next wave of creative technology, we want to hear from you.

Apply