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Pytorch Developer Jobs in Detroit, MI (NOW HIRING)

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

Ann Arbor, MI

$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 ...

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

Senior Autonomy Engineer

Ann Arbor, MI

$102K - $140K/yr

Develop and maintain developer tooling and infrastructure, including build scripts, test harnesses ... Familiarity with ML/DL frameworks (e.g., PyTorch/TensorFlow) at a basic level. * Exposure to ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... learn, PyTorch. * Take pride in writing clean, reusable, maintainable and well-tested code ... Proficiency in system analysis and design&Consider DevOps and automation as fundamental pillars of ...

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 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 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.

Full-time

Re-posted 15 days ago


Job description

AI Expert – Software

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.

Job Description

The AI Expert – Software Engineering is responsible for designing, developing, and integrating artificial intelligence capabilities into production-grade software systems. This role blends deep AI/ML expertise with strong software engineering practices to build scalable, secure, and maintainable AI-enabled applications across enterprise and mission-critical environments.

Responsibilities

  • Design and develop AI-enabled software applications and platforms
  • Integrate machine learning models, LLMs, and AI services into backend and full-stack systems
  • Develop, test, and deploy AI solutions using modern software engineering best practices
  • Build and maintain data pipelines, APIs, and AI-driven services
  • Collaborate with software engineers, data scientists, DevOps, and product teams
  • Ensure AI solutions are scalable, secure, explainable, and production-ready
  • Perform model evaluation, performance tuning, and continuous improvement
  • Support cloud-based deployment and monitoring of AI systems
  • Document system architecture, models, and development processes

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • 5+ years of professional software development experience.
  • Strong programming skills in Python and at least one additional language (Java, C++, or JavaScript).
  • Hands-on experience integrating AI/ML models into software applications.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience building APIs, microservices, or backend systems.
  • Strong understanding of software architecture, version control, and CI/CD practices.

Preferred Qualifications

  • Master’s degree or PhD in AI, Machine Learning, or a related discipline.
  • Experience working with large language models (LLMs) and generative AI tools.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and AI deployment pipelines.
  • Experience with MLOps, model monitoring, and lifecycle management.
  • Background supporting government, defense, or regulated environments.
  • Ability to obtain and maintain a security clearance if required by contract.

Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017