May Mobility builds autonomous vehicle technology in Ann Arbor, Michigan, focused on making urban transportation safer and more accessible. Since 2017, the team has delivered over 500,000 autonomous rides worldwide, using proprietary Multi-Policy Decision Making (MPDM) systems. The company’s AVs support public transit, reduce congestion, and promote sustainable city living. Role Overview The Lead Machine Learning Engineer (VLA/ALM Focused) will join the robotics engineering group as May Mobility expands its autonomous shuttle and mobility services. The role centers on advancing perception systems, particularly by integrating Vision-Language Models (VLMs) and Large Language Models (LLMs) to improve how vehicles interpret and respond to their environment. What You Will Do Work closely with cross-functional teams to define and develop software and system requirements. Design, implement, and test advanced perception features, ensuring they meet high-quality and production standards. Integrate VLMs and LLMs into the perception framework to boost semantic scene understanding and reasoning. Monitor and analyze perception system performance using real-world data. Lead development of major features that advance May Mobility’s perception technology. Location This position is based in Ann Arbor, MI.

May Mobility develops autonomous vehicles in Ann Arbor, MI, aiming to improve urban transportation with advanced technology. The company’s Multi-Policy Decision Making (MPDM) system helps AVs interpret their surroundings, supporting safer and more accessible travel. Since 2017, May Mobility has delivered over 500,000 autonomous rides worldwide, focusing on reducing congestion and increasing mobility options. Role overview The Lead Machine Learning Engineer will drive progress in machine learning for autonomous vehicles. This position involves leading efforts to advance both on-vehicle and off-vehicle ML systems, ensuring solutions meet the demands of commercial deployment and high-quality standards. What you will do Lead the development and improvement of machine learning systems for autonomous vehicles. Work on projects that impact both the vehicles themselves and supporting infrastructure. Contribute to large-scale, real-world deployments in a commercial environment. What we look for Experience advancing machine learning initiatives, ideally within autonomous vehicles or related fields. Ability to deliver high-quality solutions at scale. Interest in shaping the future of transportation.

Torc Robotics has developed autonomous vehicle technology since 2007. Now part of the Daimler family, Torc specializes in software for automated trucks and works closely with truck manufacturers to deliver autonomous freight solutions. The team focuses on transforming freight movement and business operations across the industry. Role overview This Senior Machine Learning Engineer position is remote (U.S.) or based in Ann Arbor, MI. The role centers on building and scaling end-to-end machine learning systems for autonomous trucks. Work includes connecting multi-modal perception inputs to driving behavior, always with a focus on safety, efficiency, and natural operation in real-world freight scenarios. What you will do Design, implement, and refine machine learning models across perception, prediction, and planning domains. Develop unified learning pipelines for closed-loop autonomous driving environments. Take responsibility for core components within the end-to-end stack, aiming to improve model performance at scale. Move quickly through data analysis, experimentation, and work closely with cross-functional teams. Focus on hands-on engineering and deliver production-ready solutions. Working at Torc Engineers at Torc contribute to technology that is changing the freight industry. Direct partnerships with truck manufacturers and a long track record in autonomous systems offer chances to solve real-world problems alongside a collaborative team.

Join Our Innovative TeamAt Torc Robotics, we are at the forefront of transforming transportation through autonomous vehicle technology. Our mission is to revolutionize how goods are transported, enhancing safety and efficiency in freight movement.As a pioneering company in the autonomous driving industry since 2007, we have collaborated with industry leaders to commercialize our advanced technology solutions. Now part of the Daimler family, our focus is on developing cutting-edge software for automated trucks, setting new standards for freight logistics.Are you ready to elevate your career with a company that has a rich history in autonomous technology and a unique partnership with truck manufacturers? Come join us!

Torc Robotics is looking for a Machine Learning Engineer II to join the App Engine team. This position is available in Ann Arbor, MI or Montreal, Canada. Role overview This engineer will focus on designing, building, and deploying machine learning models for robotics applications. The work centers on supporting and enhancing the App Engine platform, with a strong emphasis on technical problem-solving in the robotics field. Key responsibilities Collaborate with cross-functional teams to develop and implement machine learning models for robotics. Apply technical expertise to address complex challenges in machine learning and robotics. Contribute to ongoing projects that improve and expand the App Engine platform’s capabilities. Collaboration This position works closely with engineering, product, and research teams to integrate machine learning into practical robotics systems.

About Mariana Minerals Mariana Minerals is a software-first, vertically integrated minerals company based in Ann Arbor, MI. The team supplies minerals that support modern energy, artificial intelligence, and defense sectors. By combining industry experience with software, automation, and data-driven decisions, Mariana Minerals aims to reshape how minerals move through the supply chain. Internship Overview The Machine Learning Engineering Intern will join the applied machine learning and operations group. This role focuses on real-world challenges, contributing to the development and improvement of models that influence industrial systems and decision-making. Interns work alongside engineers and domain experts, gaining hands-on experience in building and deploying machine learning solutions in production-like settings. Main Responsibilities Work on a defined machine learning project with clear deliverables for the internship period. Develop and test models using Python, PyTorch, TensorFlow, or similar frameworks. Analyze real-world datasets to identify patterns, anomalies, and opportunities for improvement. Support the development of data pipelines, feature engineering, and model evaluation workflows. Collaborate with engineers and subject matter experts to understand system behavior and constraints. Run experiments, validate outcomes, and iterate based on findings. Document progress and present results and key learnings at the end of the internship. Qualifications Current enrollment in a degree program in Computer Science, Machine Learning, Data Science, Chemical Engineering, or a related discipline. Strong grasp of machine learning fundamentals, statistics, and data analysis. Proficiency in Python and familiarity with ML frameworks such as PyTorch and TensorFlow. Hands-on experience through projects, coursework, or previous internships is a plus.

About Torc Robotics At Torc Robotics, we envision a future where autonomous vehicle technology revolutionizes transportation, freight movement, and business operations. As pioneers in autonomous driving since 2007, we have dedicated over a decade to commercializing our innovative solutions in partnership with industry leaders. Now part of the Daimler family, our mission is focused on creating software that revolutionizes freight logistics through automated trucks. Join us at Torc Robotics to advance your career with a trailblazer in autonomous technology. Meet Our Team The Pseudo-Labeling team is dedicated to generating high-quality annotations on sensor data such as images and point clouds. We create detailed annotations that include 2D and 3D bounding boxes, classifications, trajectories, lane markings, segmentations, and depth information. These annotations are essential for various downstream applications, including training models within perception teams and generating new data for simulation teams. Your Role: Contribute to the development of algorithms for data annotation and enhancement.Collaborate with cross-functional teams to optimize data usage in model training.Analyze and improve the quality of sensor data annotations.

About Torc RoboticsTorc Robotics is at the forefront of autonomous vehicle technology, committed to transforming transportation and freight logistics. Since 2007, we've been pioneering innovative solutions in collaboration with industry leaders. As a proud member of the Daimler family, we focus on developing state-of-the-art software for automated trucks that redefine how goods are transported.Join us to elevate your career with a visionary company that was the first to partner directly with a truck manufacturer in the autonomous vehicle software space.Meet the TeamOur Model Development Organization is on the lookout for a talented Senior Machine Learning Engineer to contribute to the development of next-generation Road-Lane BEV and image space models.

Join Our Innovative TeamAs a Machine Learning Engineer II for Road & Lane at Torc Robotics, you will play a pivotal role in the creation of advanced models that assess road conditions, lane geometry, and topology as part of our cutting-edge autonomy stack. Collaborating closely with our perception, mapping, and planning teams, you will help develop high-quality, production-ready lane perception models that are essential for safe and efficient autonomous trucking.Your ResponsibilitiesDesign and train computer vision and deep learning models for detecting road lanes using a variety of sensor data, including monocular, multi-modal cameras, LiDAR, and radar.

Torc Robotics, based in Ann Arbor, MI, develops software for automated trucks as part of the Daimler family. The company has focused on autonomous vehicle technology since 2007, working closely with industry partners to advance commercial solutions in freight and transportation. The Application Engine Team builds a versatile platform for integrating and managing deep learning models in Level 4 autonomous trucking. The team’s work centers on improving development workflows, productivity, and safety standards, while enabling feature teams to create scalable and reproducible software components. Role overview The Machine Learning Engineer I - App Engine position supports the design and development of the Application Engine SDK and related runtime environments. This role focuses on building and optimizing tools that help deploy advanced autonomous driving features. What you will do Develop a processing pipeline SDK that interfaces with distributed systems on chips using Ethernet, PCIe, and similar technologies, moving data through multiple stages. Optimize concurrent use of memory and GPU resources for parallel execution of trained models on a single system on a chip. Create a runtime environment with the App Engine SDK to deploy machine learning-based virtual driver applications. Improve SDK features to support Virtual Driver Software development. Support the Virtual Driver Division in using the Application Engine platform. Write high-quality code and develop test cases to ensure reliability.

About Torc RoboticsTorc Robotics has been at the forefront of autonomous vehicle technology since 2007, pioneering advancements that will revolutionize transportation, freight movement, and business operations. As a key player in this industry, we have successfully commercialized our solutions in collaboration with seasoned partners. Now a proud member of the Daimler family, our sole mission is to innovate software solutions for automated trucks, reshaping the future of freight transportation.Join us and elevate your career with the company that first envisioned a partnership between autonomous vehicle software development and truck manufacturing.Meet the TeamAs a Senior Machine Learning Engineer specializing in Camera Models, you will be instrumental in developing and deploying machine learning models that enhance camera-based perception for autonomous trucks. The Camera Models team is responsible for creating and refining core vision systems that empower our autonomy stack to comprehend the environment, detect and localize objects, and reconstruct scene structure from camera inputs.Collaborating closely with perception, data, and infrastructure teams, you will take ownership of crafting and optimizing robust, scalable camera-based models that ensure safe and reliable autonomous driving in diverse freight scenarios.

About Torc RoboticsAt Torc Robotics, we are passionate about revolutionizing transportation through autonomous vehicle technology. Since 2007, we have been at the forefront of autonomous driving innovation, working alongside experienced partners to commercialize groundbreaking solutions. As a proud member of the Daimler family, our focus is on developing advanced software for automated trucks, reshaping the future of freight movement.Join us to elevate your career with the pioneers of autonomous technology and be part of an innovative team that collaborates directly with truck manufacturers.

Company: Torc RoboticsLocation: Ann Arbor, MI About Torc Robotics Torc Robotics has been advancing autonomous vehicle technology since 2007. Now part of the Daimler family, the team develops software for automated trucks, working to reshape how freight moves around the world. With a focus on real-world impact, Torc partners directly with truck manufacturers to bring autonomous driving solutions to market. About the Acceleration Team The Acceleration Team focuses on deploying trained machine learning models to embedded hardware. Their work includes building custom CUDA layers from Python reference designs, as well as creating pre- and post-processing modules. These modules convert raw data into model-ready inputs and translate model outputs into usable signals for the system. Reducing model inference latency is a key priority. The team uses iterative profiling and manual optimization of GPU kernels and C++ code to achieve faster, more efficient performance.

About the Company At Torc Robotics, we are at the forefront of autonomous vehicle technology, dedicated to revolutionizing transportation and freight movement. As a pioneer in autonomous driving since 2007, we have collaborated with industry leaders to bring our innovative solutions to market. Now part of the Daimler family, our mission is focused on developing cutting-edge software for automated trucks, fundamentally transforming freight logistics. Join our dynamic team and accelerate your career with a company that has played a key role in the evolution of autonomous technology and was the first software provider to partner directly with a truck manufacturer. Meet the Team: As a Senior Machine Learning Engineer specializing in Road & Lane Detection, you will spearhead the development of models that empower Torc’s autonomous vehicles to accurately perceive and interpret road structures, lane markings, and drivable surfaces. You will architect next-generation deep learning frameworks and data-driven methodologies that extract high-fidelity road and lane semantics from diverse sensor inputs, leading to significant enhancements in perception accuracy, stability, and scalability. This role is centered on technical leadership, focusing on model innovation and maturation rather than downstream feature integration. What You’ll Do Lead the model roadmap for Road & Lane Detection within the Model Development ML organization — from initial concept through to production-grade model maturity.

About Torc Robotics, Inc. At Torc, we are pioneers in autonomous vehicle technology, driven by the belief that it will revolutionize transportation, freight movement, and business operations. As a leader in the autonomous driving sector since 2007, we have dedicated over a decade to commercializing our innovative solutions in collaboration with seasoned partners. Now a proud member of the Daimler family, our mission is to develop cutting-edge software for automated trucks, fundamentally changing the landscape of freight logistics. Join us and elevate your career with a company that has been at the forefront of autonomous technology, being the first AV software company to partner directly with a truck manufacturer. Meet Our Team: Our team facilitates ML developers across Torc to create the most sophisticated autonomous vehicle solutions at scale. We manage the entire ML experimentation lifecycle, from ideation and training to validation and model comparison, ultimately converting optimal models into practical truck formats. Operating primarily in AWS, we utilize tools such as Lightning and Ray for our distributed ML efforts, and we are excited to welcome a Senior ML Engineer who shares our vision for advancing autonomous freight solutions. Your Responsibilities: Develop, maintain, and enhance our Torc ML frameworks, utilizing the following tools: Cloud tooling: Terraform, AWS Managed Services, EKS, Ray Data operations: Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS ML Development pipeline: Python, Ray, PyTorch, Lightning, Gymnasium Logging & aggregation, Experiment tracking, Model registry & lineage Visualization & dashboarding (e.g., Tableau, Voxel51, Rerun) Design and implement organization-wide systems and platforms for ML Ops. Act as a key driver for technical requirements and promote the adoption of the AV 3.0 Dev Kit among internal stakeholders. Enhance development velocity through review and iteration, contributing significantly to the team's progress. Serve as a trusted technical advisor to foster collaboration within the Data Loop & Simulation organization of the AI Division at Torc.

Role Overview Torc Robotics is hiring a Staff Machine Learning Engineer focused on Battery Electric Vehicles (BEV). This fully remote position (with an option to work from Ann Arbor, MI) plays a key part in advancing machine learning solutions for autonomous vehicles. The team works on developing and improving ML applications that support the next generation of electric vehicle technology.

About Torc RoboticsAt Torc Robotics, we are pioneers in the realm of autonomous vehicle technology, dedicated to revolutionizing the way we travel, transport goods, and conduct business. Since our inception in 2007, we have been at the forefront of autonomous driving innovation, partnering with industry leaders to bring our solutions to market. As part of the Daimler family, our focus is solely on developing cutting-edge software for automated trucks that will redefine freight movement.Join us to accelerate your career with a company that is a trailblazer in autonomous technology and the first AV software firm to collaborate directly with a truck manufacturer.Meet the Team:The Release department is integral to our product engineering efforts. Our teams ensure the safe and effective deployment of autonomous vehicles through rigorous testing processes, utilizing advanced tools to gather data and evaluate system performance.Your Responsibilities:As a Senior Systems Triage Engineer, you will assess performance data and test results from on-road, simulation, and off-road hardware testing, providing valuable analysis and trend insights to our development teams. In addition to conventional embedded systems triaging, you will leverage techniques to investigate anomalies in training data for machine-learned components.The ideal candidate will possess expertise in thought leadership, cross-functional collaboration, and spearheading initiatives to enhance system triage and forensic processes, particularly in the realm of machine learning. A solid background in large-scale, safety-critical systems and/or software development processes within complex environments is essential to guide our engineering practices.Collaborate with your team and across departments to create a responsive feedback loop for development teams.Analyze and triage issues at the system level, including sensor input, logic, embedded resource, and training data issues.Conduct triaging across various test environments, including hardware-in-loop (HIL), simulation for behavior and perception, and vehicle-level closed-course and public road work.Track and report metrics for test escapes, ensuring effective communication with stakeholders.Deliver system performance metrics based on data collected from our self-driving trucks.

Torc Robotics is seeking an ML Engineer II to support App Engine projects. This position is available in Montreal, Canada, and Ann Arbor, MI. French language proficiency is required for this role. Key responsibilities Design and develop machine learning applications that enhance App Engine features. Collaborate with engineers and other team members to build and improve technical solutions. Apply machine learning expertise to practical challenges in a team environment. Requirements Fluent in French, both spoken and written. Experience building or deploying machine learning models. Comfortable working as part of a technical team. Locations Montreal, Canada Ann Arbor, MI

May Mobility develops autonomous vehicles that use proprietary Multi-Policy Decision Making (MPDM) technology. Based in Ann Arbor, Michigan, the company focuses on making urban transportation safer, more sustainable, and accessible. Since 2017, May Mobility has delivered over 500,000 autonomous rides worldwide, aiming to reduce congestion and improve how cities move. Role overview The Robotics Engineer II role centers on advancing on-vehicle autonomy software and supporting real-world deployment of autonomous vehicles. This position involves both technical development and hands-on validation of AV systems. What you will do Train, integrate, and evaluate machine learning models for use in autonomy software on vehicles. Optimize and monitor vehicle software to ensure high reliability and low latency. Plan and carry out vehicle tests to validate autonomous software performance in real-world scenarios. Troubleshoot and resolve issues reported by commercial operations through the May Field Response process. Design and oversee data collection strategies to address gaps in machine learning models. Develop tools and visualizations to help support engineers analyze behavior and control subsystem performance using field data. Impact This role supports May Mobility’s mission to bridge transit gaps and enhance community value through safer, more efficient autonomous vehicles. Engineers in this position directly influence the reliability and performance of AV systems in daily operation.