1

Pytorch Developer Jobs in Detroit, MI (NOW HIRING)

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery ... Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc. * Experience in Li-ion battery ...

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

... pytorch, NLP etc) . • Experience using orchestration tools like Airflow and have knowledge of ... DevOps etc. • Experience in creating an API service with Fast API / Flask. • Experience ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

The AI Expert - Software Engineering is responsible for designing, developing, and integrating ... Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

PyTorch), with a solid foundation in software engineering practices. * Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components. * Ability to lead ...

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ... Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers ...

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ... Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers ...

AI Engineer

Ann Arbor, MI · On-site

$150K - $250K/yr

And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ... Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers ...

Manager, Data Engineering

Birmingham, MI · On-site

$88K - $121K/yr

Experience with XGBoost, TensorFlow, PyTorch, sklearn, or Keras * Cloud Platforms: Solid hands-on ... MLOps & DevOps: Familiarity with CI/CD, ML lifecycle management * API Development: Experience with ...

next page

Showing results 1-20

Pytorch Developer information

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 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 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 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 cities near Detroit, MI are hiring for Pytorch Developer jobs? Cities near Detroit, MI with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Detroit, MI as of June 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.