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Salaried Deep Learning Jobs in Michigan (NOW HIRING)

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

Expert in deep learning (esp. sequential models, control, planning, or perception). * Proficient in ... salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ... Base Salary: $126,000 - $180,000 Diversity, Equity and Inclusion: At Canopy, we're on a mission to ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

... deep learning, etc. * Experience with common data science toolkits, such as R, Python, TensorFlow ... Along with a competitive base salary, our excellent benefits package includes a matched 401(k) ...

Oakland Schools

Lower Elementary Teacher (K-2)

Livonia, MI · On-site

$39K - $53K/yr

Grandview or Botsford Elementary School SCHEDULE : 2026-2027 School Year SALARY : Per the CEA ... Understanding of New Pedagogies of Deep Learning (NPDL), 6 C's, Project-Based Learning (PBL), and ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

... deep dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

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Salaried Deep Learning information

What is the difference between Salaried Deep Learning vs Salaried Machine Learning Engineer?

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

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Salaried Deep Learning jobs near you

Machine Learning Engineer, App SW

Wayve

Detroit, MI • Hybrid

$283K - $381K/yr

Full-time

Re-posted 24 days ago

Job description

The Role 

As an ML Engineer within the Application Engineering team, you'll lead critical initiatives that push the frontier of model-based autonomous driving-both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.

You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You'll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.

Responsibilities:
  • Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
  • Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
  • Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
  • Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
  • Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
  • Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
  • Mentor senior engineers and shape the long-term technical direction across Autonomy.
About you: 

In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the following skills and experience.  

Essential
  • Extensive and proven track record of shipping deep learning systems to production.
  • Expert in deep learning (esp. sequential models, control, planning, or perception).
  • Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. 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 technical initiatives across teams, drive alignment, and mentor engineers.
Desirable
  • Prior work in autonomous driving, imitation learning, or trajectory prediction.
  • Familiarity with personalization, human behavior modeling, or driver intent inference.
  • Experience integrating ML systems into production hardware or multi-agent simulation.

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

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