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Pytorch Developer Jobs in Birmingham, MI (NOW HIRING)

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 ...

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models ... Strong proficiency in Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow ...

New

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... PyTorch or Tensorflow. * Publications in AI/ML journals or conferences. Equal Employment ...

Technical Environment Programming: Python, R AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn Big Data: Apache Spark, Databricks Cloud Platforms: AWS (SageMaker, EC2, S3), Microsoft Azure ...

Technical Environment Programming: Python, R AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn Big Data: Apache Spark, Databricks Cloud Platforms: AWS (SageMaker, EC2, S3), Microsoft Azure ...

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

Engineer audio systems and integrated technology platforms that augment the driving experience ... Familiarity with frameworks and tooling such as LangChain, LlamaIndex, Transformers, PyTorch ...

New

AI Specialist

Pontiac, MI · On-site

$80/hr

Programming: Python, R * ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn * Big Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure ...

Showing results 41-60

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 Birmingham, MI are hiring for Pytorch Developer jobs? Cities near Birmingham, MI with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Birmingham, MI as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

$150K - $250K/yr

Full-time

Medical, Dental, Vision

Re-posted 13 days ago


Job description

Max AI - Stripe for Healthcare

Max AI is the World's first human-free, fully-autonomous medical billing AI agent.
Many startups are attempting to attack this problem because the market is so big - $350B/yr.

We have the best team going after it.

While everyone else still needs humans in the loop, we've cracked the code for medical billing starting with dermatology, and are rapidly adding support for every other specialty.
Medical doctors who code are rare. We have the best one in the world. His previous apps have driven 50M+ downloads, all while running an incredibly successful practice of his own where he literally did the billing by hand himself. Our Head of AI has been doing AI research at MIT and Caltech for over 10 years. And our Head of Engineering was one of the earliest engineers at Figma.


AI Engineer

Responsibilities

  • Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management.
  • Contribute to the building of internal AI frameworks to enable the building of our AI agents and ML models
  • Collaborate closely with a small, high-impact team and engage directly with our Operations team and our customers to drive meaningful improvements.


Work Approach

  • Complete product ownership: tackle challenges across the board rather than working in silos.
  • An agile, iterative process with clear accountability.
  • Regular interactions with customers to ensure our product continuously evolves to meet their needs.


Core Values

  • A proactive mindset: Spot and resolve issues, continuously driving improvements.
  • Commitment to lifelong learning and personal growth.
  • Positivity, collaboration, and a team-first attitude.
  • Clear communication skills

Requirements

Required

  • 6+ years of ML/AI/data science in a production setting
  • Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models)
  • Expertise in AI/ML and specifically in NLP (pre-processing, embeddings, transformer-based models, etc)
  • Experience with LLM, including supervised fine-tuning, usage of AI frameworks, evaluations of LLMs


Nice to Have

  • Experience working at high-growth startups
  • Exposure in highly regulated industries and/or healthcare
  • Experience with AWS

Benefits

Compensation

  • $150k - $250k USD
  • Equity


Platinum Healthcare

  • Medical (Platinum PPO)
    • Company covers 100% for employee, 80% for dependents
  • Dental (Platinum PPO)
    • Company covers 90% for employee, 75% for dependents
  • Vision (Platinum PPO)
    • Company covers 90% for employee, 75% for dependents


Perks

  • $250 per month (gym membership, classes, etc)
  • $2,000 annually (courses, mentorship, etc)