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Neural Engineer Jobs in Michigan (NOW HIRING)

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ... Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$102K - $140K/yr

Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ... Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or ...

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture. * Strong understanding of cloud platforms, DevOps practices, and data processing ...

Kla

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture. * Strong understanding of cloud platforms, DevOps practices, and data processing ...

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture. * Strong understanding of cloud platforms, DevOps practices, and data processing ...

Orbotech

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture. * Strong understanding of cloud platforms, DevOps practices, and data processing ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

The resource also provides technical oversight to developers in the team that support other ... Strong understanding of neural networks, computer vision, natural language processing, and/or ...

Tata Consultancy Services

Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

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All JobsNeural Engineer JobsNeural Engineer Jobs in Michigan

Neural Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do neural engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for neural engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often find employment in healthcare, biotech, and academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and cognitive enhancement.

What types of projects and collaborations can a neural engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $90,000 to $120,000, depending on experience, education, and location. Advanced skills in neuroscience, biomedical engineering, and programming can lead to higher compensation, especially in research or industry roles.

What does a neural engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive as a neural engineer?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What are popular job titles related to Neural Engineer jobs in Michigan? For Neural Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Michigan look for? The top searched job categories for Neural Engineer jobs in Michigan are:
What cities in Michigan are hiring for Neural Engineer jobs? Cities in Michigan with the most Neural Engineer job openings:
Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $97,298 per year, or $46.8 per hour.

Senior, ML Engineer - Auto Tagger

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.
What You'll Do:
  • Scenario Mining at Scale: Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.
  • Advanced Event Tagging: Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios.
  • Standardized Data Structuring: Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity.
  • Data Flywheel Integration: Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.
  • Cross-Functional Alignment: Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop.
  • Mentorship & Team Growth: Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.

What You'll Need to Succeed:
  • BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation.
  • Core Languages: Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets.
  • ML & Dataset Curation: Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance.
  • Data Exploration: Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable.
  • Cloud & Compute: Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads.
  • AV Standards: Experience parsing complex data formats and applying scenario-description standards like Pegasus layers.
  • Communication: Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders.
  • Technical Leadership: Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.

Bonus Points!
  • Auto-labeling & VLMs: Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction.
  • Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference
  • Semantic Inference: Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection.
  • Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow).
  • Downstream Integration: Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation.
  • Advanced Retrieval: Experience building semantic retrieval systems or vector databases for automotive data.

Perks of Being a Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102717
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

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