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Deep Learning Engineer Jobs in Michigan (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Lansing, MI

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 ...

Bespoke Labs

Machine Learning Engineer

Detroit, MI

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 ...

Bespoke Labs

Machine Learning Engineer

Warren, MI

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 ...

Bespoke Labs

Machine Learning Engineer

Flint, MI

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 ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Machine Learning Engineer (Dearborn, MI) For quick apply, please reach ... Experience working in an implementation team from concept to operations, providing deep technical ...

Digitas

Manager, Data Engineering

Birmingham, MI · On-site

$88K - $121K/yr

Machine Learning Engineer We're seeking a Machine Learning Engineer to help design, build, and ... Exposure to NLP, computer vision, or deep learning * Modern ML: Familiarity with LLMs, RAG patterns ...

SynergisticIT

AI and Machine Learning Engineer

Detroit, MI

$104K - $125K/yr

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning ... Design Client and Deep AI Models for different types of data (time-series, sales, business data ...

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All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Michigan

Deep Learning Engineer information

See Michigan salary details

$33.1K

$101K

$166.9K

How much do deep learning engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for deep learning engineer in Michigan is $100,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

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

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Michigan? For Deep Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Michigan look for? The top searched job categories for Deep Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Deep Learning Engineer jobs? Cities in Michigan with the most Deep Learning Engineer job openings:
Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Michigan as of June 2026, with employment types broken down into 9% Internship, 71% Full Time, and 20% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $100,987 per year, or $48.6 per hour.

Machine Learning Engineer

Bespoke Labs

Lansing, MI

Full-time

Posted 3 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

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 preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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