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Remote Embedded Machine Learning Jobs in Michigan

Sight Machine

Staff Site Reliability Engineer

Ann Arbor, MI · On-site +1

$55.75 - $74/hr

... learning and development. Our philosophy is that careers are continuous journeys, and we dedicate ... Sight Machine has offices in San Francisco, CA and Ann Arbor, Mi. We do have a remote-friendly ...

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micro1 AI

AI Trainer - Microbiology Expert

Detroit, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Dearborn, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Ann Arbor, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Warren, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Lansing, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

OneStream

AI Engineer

Birmingham, MI · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

CSAA

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Remote Embedded Machine Learning information

What is a remote embedded machine learning engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What are the key skills and qualifications needed to thrive as a remote embedded machine learning engineer?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by remote embedded machine learning engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are the most commonly searched types of Embedded Machine Learning jobs in Michigan?

The most popular types of Embedded Machine Learning jobs in Michigan are:

What are popular job titles related to Remote Embedded Machine Learning jobs in Michigan?

For Remote Embedded Machine Learning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Machine Learning jobs in Michigan look for?

The top searched job categories for Remote Embedded Machine Learning jobs in Michigan are:

What cities in Michigan are hiring for Remote Embedded Machine Learning jobs?

Cities in Michigan with the most Remote Embedded Machine Learning job openings:

Remote Embedded Machine Learning jobs near you

ML Engineer, II - Simulation Enablement

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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
Torc Sim is the simulation platform built by our Dataloop + Simulation division to help Autonomy teams replay, recompute, evaluate, and visualize their models against real and synthetic driving data at scale. It is the backbone that turns a logged drive into a repeatable, measurable experiment, and we are working to scale our impact across all our Autonomy users.
We are hiring a Machine Learning Engineer to sit at the center of that growth: reporting to Dataloop + Simulation but living day-to-day with one or two Autonomy teams to drive Torc Sim adoption from the inside. You will be the person who makes sure a model team's replay/recompute jobs run at scale, that the metrics coming out are interpretable and auditable, and that engineers can visualize what their model is doing. Along the way, you will become the resident expert on whichever model you are partnered with, whether Perception or Behavior models, so you fluently translate between "simulation platform" and "autonomy model."
What You'll Do
  • Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim
  • Implement the end-to-end data flow: data ops platform → simulation environment → persistent storage running at scale
  • Onboard Autonomy models to execute replay/recompute workflows at scale, as well as the subsequent metric evaluation
  • Ensure adoption of the visualization tooling and bring back UI/UX improvements for our development backlog
  • Become a domain expert on the model(s) your partner team owns (e.g., Camera, Lidar, Vehicle Intent, Object Tracking) so you can implement and own integrations
  • Debug issues that span the full stack, from data ingestion, through simulation execution, to storage and metrics - and drive them to resolution
  • Translate on-the-ground feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap
  • Document workflows and onboard new users so adoption scales beyond your own hands-on support

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or a related technical field plus demonstrated competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience
  • Strong Python skills and experience building or operating data pipelines at scale
  • Experience working with simulation, replay, or model validation
  • Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning) and the data they consume
  • Comfort working across cloud storage and compute
  • Strong cross-team communication skills - you'll be translating between a platform team and one or two embedded Autonomy teams on a daily basis
  • A bias toward hands-on problem solving: you're as comfortable debugging a broken data pipeline as you are explaining a metric discrepancy to a model owner

Bonus Points!
  • Prior experience in a forward-deployed engineer, solutions engineer, or embedded platform role
  • Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically
  • Experience with simulation or replay frameworks for autonomous vehicles or robotics
  • Familiarity with visualization tooling such as Foxglove, OpenGL, or Three.js
  • Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas)
  • Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS HyperPods)
  • Infrastructure-as-code experience (Terraform) and CI systems (GitHub Actions)

Work Location: For this position, we are hiring Remote in the United States and Canada.
Perks of Being a Full-time 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-102870
Hiring Range for Job Opening
US Pay Range
$153,200-$183,800 USD

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