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Parallel Learning Jobs in Michigan (NOW HIRING)

SG2 Recruiting

Ada Embedded Engineer

Grand Rapids, MI

$126K - $166K/yr

Multi-threaded and parallel processing architectures * Distributed systems * Multi-core embedded ... learning. * Competitive compensation and benefits package. About the Company Wind RiverX delivers ...

MemryX

Executive Assistant

Ann Arbor, MI · On-site

Our unique compute-near-memory architecture minimizes data movement and enables massively parallel ... Rapid prototyping, continuous learning, and a true startup mindset. * Career Path: Clear ...

MemryX

Executive Assistant

Ann Arbor, MI · On-site

Our unique compute-near-memory architecture minimizes data movement and enables massively parallel ... Rapid prototyping, continuous learning, and a true startup mindset. * Career Path: Clear ...

SG2 Recruiting

Ada Embedded Engineer

Grand Rapids, MI · On-site

$126K - $166K/yr

Multi-threaded and parallel processing architectures * Distributed systems * Multi-core embedded ... learning. * Competitive compensation and benefits package. About the Company Wind RiverX delivers ...

Collabera

MI · On-site

$100K - $135K/yr

... learning. Visit www.collabera.com to learn more about our latest job openings. Awards and ... Responsible for executing build and release strategy for highly complex parallel and concurrent ...

alter Domus

$11K - $130K/mo

Understanding of multiple vehicle structures including parallel, co-investor, blocker, feeder and ... Our industry-leading Alter Domus Academy offers six learning zones for every stage of your career ...

Collabera

MI · On-site

$100K - $135K/yr

... learning. Visit www.collabera.com to learn more about our latest job openings. Awards and ... complex parallel and concurrent releases for Software Products in support of Predix Field Agent ...

Hearst Transportation

Chief Product Officer

Troy, MI · On-site

In parallel, the CPO will lead the technology, engineering, DevOps, and IT teams to ensure that ... Lead AI strategy, identifying areas where machine learning and automation can unlock meaningful ...

Hearst

Chief Product Officer

Troy, MI · On-site

In parallel, the CPO will lead the technology, engineering, DevOps, and IT teams to ensure that ... Lead AI strategy, identifying areas where machine learning and automation can unlock meaningful ...

Orbotech

HPC Storage Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Troubleshoot storage and performance issues in Linux environments Learning & Collaboration ... Parallel or distributed storage concepts (Lustrelike architectures) Nice to Have * Exposure to HPC ...

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All JobsParallel Learning JobsParallel Learning Jobs in Michigan

Parallel Learning information

See Michigan salary details

$30.5K

$71.9K

$141.2K

How much do parallel learning jobs pay per year?

As of Jul 1, 2026, the average yearly pay for parallel learning in Michigan is $71,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $94,100.00 per year, depending on experience, location, and employer.

What is the difference between Parallel Learning vs Data Analysis?

AspectParallel LearningData Analysis
Required CredentialsOften requires knowledge of machine learning, programming, and statisticsTypically requires statistics, Excel, and data visualization skills
Work EnvironmentTech-focused, research, and development settingsBusiness, finance, healthcare, and various industries
Employer & Industry UsageTech companies, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding roles related to machine learning and AIAnalyzing data to inform business decisions

Parallel Learning involves developing machine learning models and algorithms, often in tech or research environments, requiring programming and statistical skills. Data Analysis focuses on examining datasets to extract insights, used across many industries like finance and healthcare. While both roles involve working with data, Parallel Learning emphasizes creating models, whereas Data Analysis emphasizes interpreting data for decision-making.

What is parallel learning?

Parallel learning is an educational approach where students receive supplemental instruction or interventions alongside their regular classroom learning. This method is often used to provide personalized support, such as special education services or targeted skill development, without removing students from their standard curriculum. By running interventions 'in parallel' with general education, students can address specific learning needs while staying engaged with their peers. Parallel learning can take many forms, including small group sessions, individualized instruction, or online modules.

How does a professional in Parallel Learning typically collaborate with educators, families, and specialists to support student success?

Professionals in Parallel Learning, such as educational therapists or learning specialists, play a key role in fostering collaboration between students, educators, families, and other specialists. They often coordinate with teachers to adapt curriculum, communicate with families about progress and strategies, and consult with speech-language pathologists or occupational therapists as needed. This interdisciplinary teamwork ensures that interventions are aligned and that each student receives consistent, individualized support. Regular meetings, progress updates, and shared goal-setting are common practices in this collaborative environment.

What are the key skills and qualifications needed to thrive as a Learning Specialist at Parallel Learning, and why are they important?

To thrive as a Learning Specialist at Parallel Learning, you generally need a background in education, special education, or psychology, often with relevant state certification or licensure. Familiarity with digital assessment tools, remote learning platforms, and individualized education program (IEP) software is typically required. Exceptional interpersonal skills, patience, and adaptability distinguish top performers in supporting diverse learners and collaborating with families and teams. These skills ensure personalized, effective interventions and help students reach their educational goals in a virtual environment.
What are popular job titles related to Parallel Learning jobs in Michigan? For Parallel Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Parallel Learning jobs in Michigan look for? The top searched job categories for Parallel Learning jobs in Michigan are:
Parallel Learning jobs near you
Infographic showing various Parallel Learning job openings in Michigan as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $71,913 per year, or $34.6 per hour.
Autonomous Driving Vehicle Perception Engineer

Autonomous Driving Vehicle Perception Engineer

Quest Global

Northville, MI • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Quest Global rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

237th of 357 rated engineering

Job description

Job Requirements
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills
What You will Do:
  • Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
  • Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
  • Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
  • Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM.
  • Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
  • Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Develop, test, and deploy machine learning models for perception tasks such as object detection and segmentation.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.

What You Will Bring:
  • Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
  • Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
  • Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
  • Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
  • Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
  • Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
  • Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
  • Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and segmentation tasks.
  • Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
  • Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
  • Familiarity with ROS2 for perception-based autonomous systems development.
  • Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).

Pay Range: $80,000-$100,000 a year
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements: This role is considered an on-site position located in Northville, MI, USA
  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.

Benefits
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Employer paid Life Insurance, Short- & Long-Term Disability

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