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Pytorch Jobs in Detroit, MI (NOW HIRING)

Inficare Technologies

AI Specialist

Pontiac, MI · On-site

$80/hr

TensorFlow, PyTorch, Keras, Scikit-learn * Big Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks)

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

Maddisoft

AI Specialist

Rochester, MI · On-site

Hands-on experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with big data technologies including Apache Spark and Databricks.

Maddisoft

AI Specialist

Rochester, MI · On-site

Hands-on experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with big data technologies including Apache Spark and Databricks.

New

Maddisoft

AI Specialist

Rochester, MI · On-site

Hands-on experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with big data technologies including Apache Spark and Databricks.

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Experience with machine learning frameworks such as Scikit-learn, TensorFlow, and/or PyTorch. Practical experience developing applications using Large Language Models (LLMs), prompt engineering, and ...

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All JobsPytorch JobsPytorch Jobs in Detroit, MI

Pytorch information

See Detroit, MI salary details

$79.5K

$142.5K

$204.4K

How much do pytorch jobs pay per year?

As of Aug 29, 2026, the average yearly pay for pytorch in Detroit, MI is $142,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,712.00 and $174,293.00 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 popular job titles related to Pytorch jobs in Detroit, MI?

For Pytorch jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Pytorch jobs in Detroit, MI look for?

The top searched job categories for Pytorch jobs in Detroit, MI are:

Pytorch jobs near you
Infographic showing various Pytorch job openings in Detroit, MI as of August 2026, with employment types broken down into 2% Internship, 90% Full Time, 5% Part Time, and 3% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $142,515 per year, or $68.5 per hour.

Autonomous Driving Vehicle Perception Engineer

Reveille Technologies

Northville, MI • On-site

Other

Posted 22 days ago

Job description

ONLY FULLTIME NO CONTRACT

Job Title: Autonomous Driving Vehicle Perception Engineer

Location: Northville, MI (Onsite)

Type: Full-time

About the Role

We are seeking an experienced Perception Engineer to design, build, and deploy real-time perception and multi-sensor fusion algorithms for next-generation autonomous driving systems across LiDAR, camera, radar, and GNSS modalities.

Key Responsibilities

  • Algorithms & Models: 3D Object Detection, Multi-Object Tracking, Semantic Segmentation, Machine Learning (PyTorch, TensorFlow, YOLO, Faster R-CNN, DeepSORT).

  • Localization & SLAM: Graph SLAM, LIO-SAM, Visual-Inertial SLAM, Point Cloud Processing (PCL, Open3D).

  • Sensor Fusion & Calibration: Intrinsic & Extrinsic Calibration, Multi-Sensor Fusion (LiDAR, Camera, Radar, GNSS), Coordinate Transformations, Time Synchronization.

  • System Integration & Optimization: ROS2, C++, Python, Real-Time Systems, Parallel Computing (CUDA, OpenCL).

Key Requirements

  • Experience: 3+ years in sensor calibration, multi-sensor fusion, or autonomous vehicle perception.

  • Core Fundamentals: Strong background in 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.

  • Tech Stack: High proficiency in C++ and Python; hands-on experience with ROS2 and computer vision libraries (OpenCV, PCL, or Open3D).

  • Deep Learning & Tracking: Experience with PyTorch/TensorFlow, object detection models (YOLO, Faster R-CNN), and tracking algorithms (Kalman Filters, DeepSORT, UKF).

  • Optimization: Familiarity with parallel computing platforms (CUDA/OpenCL) for real-time performance.

Thanks and Regards,

Praveenkumar

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