Senior Machine Learning Engineer - Camera Systems

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 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!

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.

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.

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.

Torc Robotics, based in Ann Arbor, MI, develops autonomous vehicle technology with a focus on automated trucks. As part of the Daimler family, the company works closely with truck manufacturers to bring advanced autonomous freight solutions to market. The Compute Platform Systems Team handles systems engineering for component development and integration, emphasizing cybersecurity and functional safety. Team members play a key role in shaping the future of autonomous trucking technology. Role overview The Senior Functional Safety Systems Engineer leads analysis and assessment activities related to functional safety for the Compute Platform Systems team. This position works with software, hardware, and infrastructure groups to build a thorough functional safety case for autonomous trucks. Main responsibilities Support the development of Compute Platform components, including embedded computing, data logging, LiDAR, radar, cameras, microphones, IMUs, and power distribution systems. Facilitate design discussions focused on functional safety with hardware, software, validation, and operational teams. Derive and define safety requirements so that system architecture and design align with safety concepts and industry standards. Conduct hazard analyses and risk assessments to identify and address potential safety concerns.

The Senior System Test Engineer - Simulation position at Torc Robotics offers the option to work remotely within the U.S. or from Ann Arbor, MI. This role is part of the Systems Test team, which plays a key part in validating the safety and performance of Torc’s autonomous driving system. Role overview As a Senior System Test Engineer, the work centers on simulation, virtual testing, and data-driven validation. The goal is to ensure the autonomous driving system performs reliably and safely before it is deployed on the road. The team investigates both routine and complex driving situations, using simulation to test how the system responds in a wide range of scenarios. Collaboration This role involves close collaboration with teams focused on perception, planning, systems engineering, and safety. Working together, these groups address the technical challenges of testing autonomous vehicle behavior under various conditions. Focus areas Simulation-based validation of autonomous driving features Virtual testing to assess system performance and safety Data-driven analysis to support reliability before deployment Testing in both standard and challenging 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.

Join Torc Robotics as a Senior System Test Engineer specializing in vehicle testing. In this pivotal role, you will lead the testing efforts to ensure our autonomous vehicle systems meet the highest standards of safety and performance. Your expertise will drive advancements in our testing methodologies, enabling us to deliver cutting-edge technology.

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 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.

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.

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.

At May Mobility, we are revolutionizing urban landscapes through cutting-edge autonomous technology, striving to create a world that is safer, more sustainable, and universally accessible. Headquartered in Ann Arbor, Michigan, we specialize in the development and deployment of autonomous vehicles (AVs) driven by our pioneering Multi-Policy Decision Making (MPDM) technology, which transforms the cognitive processes of AVs.Our autonomous vehicles do more than navigate roads; they enhance community value, fill gaps in public transit, and facilitate safe, enjoyable transportation for all. We are committed to building the premier autonomy system to redefine transit, alleviating congestion, broadening access, and promoting improved land use to cultivate greener, vibrant, and livable environments. Since our inception in 2017, we have successfully provided over 500,000 autonomous rides globally, and we are just beginning our journey. We are seeking individuals who share our enthusiasm for shaping the future, tackling real-world challenges, and witnessing the tangible outcomes of their contributions. Join us in our mission!Job OverviewMay Mobility is embarking on an exciting growth trajectory as we expand our unique autonomous shuttle and mobility services nationwide. Founded in 2017 by a skilled team of roboticists and software engineers with extensive experience in deploying robotic systems, we are looking to enhance our team of robotics engineers with expertise in robotics or autonomous vehicles.Key ResponsibilitiesIn this role, you will have the opportunity to make a significant impact by addressing some of the most compelling challenges facing AVs today while operating in real-world settings.Collaborate independently with cross-functional teams to define software and system requirementsDesign, develop, and test cutting-edge robotics software utilizing C/C++Lead team efforts in maintaining code quality through design and code reviewsMonitor and analyze the technical performance of the system in the fieldOffer technical support and guidance to the Technical Support Team for issue diagnosis and resolutionRequired Skills and QualificationsTo excel in this role, candidates should possess the following competencies:Deep understanding of behavior planning, decision-making under uncertainty, and machine learning principles

At May Mobility, we are revolutionizing urban transport through cutting-edge autonomous technology, envisioning a world that is safer, greener, and more accessible. Located in the vibrant city of Ann Arbor, Michigan, we design and implement autonomous vehicles (AVs) that utilize our groundbreaking Multi-Policy Decision Making (MPDM) technology, fundamentally changing how AVs operate.Our vehicles are not just about self-driving; they enhance community value, fill public transit gaps, and ensure safe, enjoyable transportation for individuals. We strive to develop the world's leading autonomy system that minimizes congestion, broadens access, and promotes sustainable land use, ultimately creating greener, more livable spaces. Since our inception in 2017, we have successfully provided over 500,000 autonomous rides globally, and this is only the beginning. We are looking for passionate individuals eager to shape the future and make a tangible impact. Join us!Job SummaryAs a Senior Systems Engineer, you will utilize your deep understanding of our technology and products to drive cross-functional engineering initiatives. You will support system design activities, ensure adherence to specifications, and collaborate with testing and validation teams to set verification standards. A significant component of this role involves engaging with our Japanese customers, necessitating close collaboration with our Japan team to comprehend and address region-specific requirements for future AV launches.

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.