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Pytorch Jobs in Columbus, OH (NOW HIRING)

SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...

Experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch , or similar technologies. * Experience with Power BI, Tableau, or similar visualization tools . * Strong analytical, statistical, and ...

Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Hands-on experience with Generative AI , LLMs (OpenAI, Anthropic, Llama, etc.) , LangChain , and ...

Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Hands-on experience with Generative AI , LLMs (OpenAI, Anthropic, Llama, etc.) , LangChain , and ...

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Pytorch information

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$138.3K

$198.4K

How much do pytorch jobs pay per year?

As of Sep 5, 2026, the average yearly pay for pytorch in Columbus, OH is $138,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,739.00 and $169,199.00 per year, depending on experience, location, and employer.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What are the most commonly searched types of Pytorch jobs in Columbus, OH?

The most popular types of Pytorch jobs in Columbus, OH are:

What are popular job titles related to Pytorch jobs in Columbus, OH?

For Pytorch jobs in Columbus, OH, the most frequently searched job titles are:

What cities near Columbus, OH are hiring for Pytorch jobs?

Cities near Columbus, OH with the most Pytorch job openings:

Infographic showing various Pytorch job openings in Columbus, OH as of August 2026, with employment types broken down into 2% Internship, 88% Full Time, 6% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $138,350 per year, or $66.5 per hour.

Machine Learning Engineer

Bespoke Labs

Columbus, OH

Full-time

Re-posted 20 days ago


Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems