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M Modal Jobs in Michigan (NOW HIRING)

ASRC Federal

$96K - $132K/yr

... modal, and textual data * Training deep neural networks including MLPs, CNNs, Transformers, and others as required * Working with existing modeling and simulation (M&S) tools to develop data for new ...

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M Modal information

What is an M Modal?

An M Modal job typically involves working with M*Modal, a company specializing in medical transcription, speech recognition, and clinical documentation solutions. Roles can include medical transcriptionists, speech recognition editors, and clinical documentation specialists who assist healthcare providers in accurately processing patient records. These jobs require strong attention to detail, knowledge of medical terminology, and proficiency with M*Modal’s software. Many professionals in this field work remotely, ensuring timely and accurate transcription of medical reports.

What are some typical daily responsibilities for an M Modal medical transcriptionist?

As an M Modal medical transcriptionist, your primary responsibility is to transcribe medical dictations and reports accurately using specialized software. You will often edit and proofread documents for medical accuracy, correct formatting, and proper terminology. Collaboration with healthcare providers to clarify unclear audio or gather additional details is common, and you may also be responsible for adhering to strict privacy standards. These tasks help ensure that patient records are complete, up-to-date, and compliant with healthcare regulations.

What are the key skills and qualifications needed to thrive in the M Modal position, and why are they important?

To thrive in an M Modal role, you need strong transcription skills, excellent knowledge of medical terminology, and a background in healthcare documentation, often supported by a certification in medical transcription. Experience with M*Modal's Fluency software and familiarity with electronic health record (EHR) systems are highly desirable. Attention to detail, confidentiality, and time management are essential soft skills that help ensure accuracy and timely completion of documentation. These competencies are crucial for delivering high-quality, precise healthcare records that support the clinical team and patient care.

What are popular job titles related to M Modal jobs in Michigan?

For M Modal jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching M Modal jobs in Michigan look for?

The top searched job categories for M Modal jobs in Michigan are:

M Modal jobs near you
Infographic showing various M Modal job openings in Michigan as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

Staff Machine Learning Engineer - BEV/Multi-Modal Perception

Ann Arbor, MI • On-site

Jobtailor
See more jobs at Jobtailorexternal

$150 - $200/hr

Other

Posted yesterday

New

Job description

  • Lead BEV model development and execute the technical roadmap for BEV-based perception models across detection, segmentation, road topology, and scene understanding
  • Design multi-modal architectures that fuse camera, LiDAR, radar, and HD maps into unified spatial representations
  • Develop foundational perception models using BEV transformers, voxel-based encoders, or implicit scene representations
  • Own large-scale training workflows, including data sampling, augmentation, distributed training, and hyperparameter optimization
  • Improve model robustness and generalization for low visibility, occlusions, and rare scene configurations
  • Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance
  • Collaborate with sensor calibration, mapping, and fusion teams on cohesive perception model interfaces
  • Mentor and guide ML engineers while cultivating experimentation, code quality, and model validation best practices
  • Explore self-supervised learning, large-scale pretraining, and foundation models for 3D perception
Requirements
  • 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
  • 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)
Core Competencies

Expertise in BEV model development and multi-modal sensor fusion, with a strong focus on deep learning for perception and 3D vision. Proven ability to lead technical teams, mentor engineers, and drive innovation in autonomous systems.

Highest-signal resume keywords
  • BEV Modeling
  • 3D Scene Understanding
  • Multi-Modal Sensor Fusion
  • Deep Learning Frameworks (PyTorch, TensorFlow)
Hard Skills
  • Deep Learning for Perception
  • 3D Vision
  • Large-Scale Data Pipelines
  • Distributed Training
  • Hyperparameter Optimization
  • Model Robustness Improvement
  • Self-Supervised Learning
  • Spatial-Temporal Modeling
  • Camera and LiDAR Integration
  • 3D Labeling and Calibration
Soft Skills
  • Mentoring
  • Collaboration
  • Experimentation
  • Code Quality
  • Model Validation Best Practices
Certifications & Qualifications
  • M.S. or Ph.D. in Computer Science
  • Electrical Engineering
  • Robotics
Industry Keywords
  • Autonomous Systems
  • Perception Models
  • Sensor Calibration
  • Mapping and Fusion
  • Publications in CVPR, ICCV, NeurIPS, ICRA, CoRL
Tools & Technologies
  • Python
  • PyTorch
  • TensorFlow
  • Ray
  • Experiment Management Systems
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