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Remote Senior Machine Learning Engineer Jobs in Detroit, MI

OneStream

AI Engineer

Birmingham, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

DISHER

Vision Engineer

Detroit, MI · On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Bright Vision Technologies

AI Security Engineer

Troy, MI · Remote

$105K/yr

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software ... and machine learning systems. The role addresses the unique security challenges posed by LLMs ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ... Hands-on machine learning and dataset curation experience, with a demonstrated history of ...

Torc Robotics

Senior, ML Engineer - 3D Reconstruction

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop guidelines and standards for analytics and machine learning models, their deployment, and ... Mentors and guides engineers within and beyond the group. * Bachelor's Degree in Computer Science ...

Daniels Health

Senior Controls Engineer

Ann Arbor, MI · Remote

$125K - $141K/yr

Daniels Health is seeking an experienced Senior Controls Engineer to join our growing US ... Design, implement, and optimize machine vision systems for detection, classification, inspection ...

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Detroit, MI

Remote Senior Machine Learning Engineer information

See Detroit, MI salary details

$74.7K

$141.9K

$190.1K

How much do remote senior machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote senior machine learning engineer in Detroit, MI is $141,853.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $159,900.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Detroit, MI?

For Remote Senior Machine Learning Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Detroit, MI look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Detroit, MI are:

Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Detroit, MI as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $141,853 per year, or $68.2 per hour.

ML Engineer, II - Simulation Enablement

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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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