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Remote Unique Learning System Jobs in Monroe, MI

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... scale and maintain Machine Learning systems and capabilities in production environments.

Workiva

Spring 2027 Intern - Partnerships

Toledo, OH · On-site +1

$21/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... leave A unique opportunity to further your learning experience through additional internship ...

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All JobsUnique Learning System JobsRemote Unique Learning System JobsRemote Unique Learning System Jobs in Monroe, MI

Remote Unique Learning System information

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How much do remote unique learning system jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote unique learning system in Monroe, MI is $34.51, according to ZipRecruiter salary data. Most workers in this role earn between $26.06 and $43.41 per hour, depending on experience, location, and employer.

What is a remote Unique Learning System specialist?

A Remote Unique Learning System specialist is an educator or support professional who uses the Unique Learning System (ULS), an online curriculum specifically designed for students with special needs, to teach or assist students remotely. They adapt lessons, provide instructional support, and monitor student progress using the ULS platform from a remote location. This role often involves collaborating with other educators, supporting families, and ensuring that students receive individualized instruction that meets their learning goals, all through virtual tools.

What are the key skills and qualifications needed to thrive as a remote Unique Learning System specialist?

To thrive as a Remote Unique Learning System Specialist, you need a solid background in special education, instructional design, and familiarity with curriculum adaptation, typically supported by a degree in education or a related field. Expertise in using the Unique Learning System platform, as well as proficiency with virtual classroom tools and assistive technologies, is essential. Strong communication, patience, and problem-solving skills help in effectively supporting students, teachers, and parents remotely. These skills are crucial for delivering personalized, accessible educational experiences and ensuring student success in a virtual learning environment.

What are some common challenges faced when working remotely as an educator using the Unique Learning System, and how can they be managed?

Educators using the Unique Learning System (ULS) remotely often face challenges like maintaining student engagement, adapting lesson plans for virtual delivery, and ensuring accessibility for diverse learners. To overcome these, it's helpful to utilize ULS’s interactive digital resources, set clear communication channels with students and caregivers, and regularly collaborate with support staff and therapists. Scheduling consistent check-ins and leveraging ULS’s progress monitoring tools also ensures that students' needs are met effectively, even from a distance.

What is the difference between Remote Unique Learning System vs Remote Special Education Teacher?

AspectRemote Unique Learning SystemRemote Special Education Teacher
Required CredentialsSpecialized training in learning systems, certifications in educational technologyState teaching certification, special education credentials
Work EnvironmentOnline platform, remote, often project-basedRemote classroom, virtual teaching via video conferencing
Employer & Industry UsageEdTech companies, online learning providersSchool districts, educational institutions
Common Search & ComparisonYesYes

The Remote Unique Learning System focuses on implementing specialized educational technology solutions, often within online platforms, requiring tech-specific certifications. In contrast, a Remote Special Education Teacher provides direct instruction and support to students with disabilities, typically holding teaching credentials. Both roles are remote but differ in credentials, work environment, and industry usage, catering to different aspects of education.

What are popular job titles related to Remote Unique Learning System jobs in Monroe, MI?

For Remote Unique Learning System jobs in Monroe, MI, the most frequently searched job titles are:

What job categories do people searching Remote Unique Learning System jobs in Monroe, MI look for?

The top searched job categories for Remote Unique Learning System jobs in Monroe, MI are:

Remote Unique Learning System jobs near you
Infographic showing various Remote Unique Learning System job openings in Monroe, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $71,785 per year, or $34.5 per hour.

Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

Ann Arbor, MI • On-site, Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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
As a Staff Machine Learning Engineer specializing in BEV (Bird's-Eye View) and Multi-Modal Perception, you will lead the development of next-generation models that unify information across cameras, LiDAR and radar to deliver a rich spatial understanding of the driving environment. You will drive architectural innovation, large-scale model training, and data-driven improvements that directly advance the perception capabilities at the heart of Torc's autonomous driving stack. This is a technical leadership role focused on model innovation and maturity, not downstream feature integration.
What You'll Do
  • Lead BEV model development: define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding).
  • Design advanced multi-modal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified spatial representations.
  • Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene representations.
  • Own large-scale training workflows - from data sampling strategies and augmentation pipelines to distributed training and hyperparameter optimization.
  • Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare scene configurations.
  • Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.
  • Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model interfaces.
  • Mentor and guide ML engineers, cultivating best practices in experimentation, code quality, and model validation.
  • Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, or foundation models for 3D perception.

What You'll Need to Succeed
  • 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems.
  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent practical experience).
  • Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
  • Strong background in multi-modal sensor fusion, particularly integrating camera and LiDAR data.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with large-scale data pipelines, distributed training, and experiment management systems.
  • Demonstrated leadership in driving ML model innovation and mentoring technical teams.

Bonus Points
  • Experience with autonomous driving or robotics perception in production environments.
  • Experience with MLOps and infrastructure tools (Ray).
  • Hands-on expertise in BEV-based ML architectures, LiDAR-vision fusion, or spatial-temporal modeling.
  • Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
  • Track record of publications or open-source contributions in top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL).
  • Understanding of performance tradeoffs and deployment constraints (latency, memory, accuracy).

Work Location: For this position, we are open to hiring in Ann Arbor, MI in a hybrid capacity. We are also open to hiring Remote in the United States.
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 matchFlexibility 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: 102945
Hiring Range for Job Opening
US Pay Range
$215,500-$258,600 USD

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