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Remote Machine Learning Jobs in Southfield, MI (NOW HIRING)

Utilidata

Software Engineer, On Device

Ann Arbor, MI · Remote

$120K - $150K/yr

This edge software includes machine learning, optimization algorithms, and components that host ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

This edge software includes machine learning, optimization algorithms, and components that host ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

Own end-to-end decisioning and pricing optimization engine, use large-scale historical and market data to form hypotheses, conduct analyses, develop machine learning models, evaluate and implement ...

fng

Software Developer

Warren, MI · On-site +1

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

fng

Software Developer

Warren, MI · On-site +1

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

fng

Software Developer

Warren, MI · On-site +1

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week. *Visa Sponsorship IS provided for this specific role * *Relocation ...

JayesTech LLC

Infor-M3 Developer

Detroit, MI · On-site +1

Remote • XtendM3 certification from Infor. • Experience in developing mashup in multi-tenant cloud. • Must have worked in an Infor-M3 environment for over 10 years • Must understand ...

Actalent

Senior Software Engineer

Southfield, MI · On-site +1

$57 - $70/hr

Work Environment This position follows a hybrid work schedule, with remote work on Mondays and Fridays and in-office collaboration from Tuesday through Thursday. You will work in a fast-paced ...

Cavnue

Senior Software Engineer

Detroit, MI · Remote

$121K - $159K/yr

Learning and development opportunities Benefits are subject to eligibility requirements and the terms of the applicable benefit plans and programs. #LI-Remote We are building an incredible team of ...

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Showing results 41-60

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Southfield, MI

Remote Machine Learning information

See Southfield, MI salary details

$23.4K

$39.1K

$80.7K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Southfield, MI is $39,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,800.00 and $42,200.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Southfield, MI?

The most popular types of Machine Learning jobs in Southfield, MI are:

What are popular job titles related to Remote Machine Learning jobs in Southfield, MI?

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

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

The top searched job categories for Remote Machine Learning jobs in Southfield, MI are:

What cities near Southfield, MI are hiring for Remote Machine Learning jobs?

Cities near Southfield, MI with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Southfield, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,064 per year, or $18.8 per hour.

ML Engineer, II - Simulation Enablement

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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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