Maymobility

<div><p><span>May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.</span><br /><br /><span>Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></p></div><h2><span><strong>Essential Responsibilities</strong></span></h2>
<ul>
<li>Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software</li>
<li>Optimize and Monitor on-vehicle software for maximum reliability and minimum latency</li>
<li>Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios</li>
<li>Diagnose and root-cause issues reported by commercial operations through the May Field Response process</li>
<li>Design and oversee data collection strategies to address ML model deficiencies </li>
<li>Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data</li>
</ul>
<h2><span><strong>Qualifications and Experience</strong></span></h2>
<p><em>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:</em></p>
<p><strong><em>Required</em></strong></p>
<ul>
<li>2+ years experience with robotics software for physical systems in a commercial environment</li>
<li>Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)</li>
<li>Basic understanding of ML model concepts such as training, architectures, and data selection</li>
<li>Functional understanding of lidar, camera and/or radar perception systems and their hardware interfaces</li>
<li>Strong programming skills in C/C++/Python in a Linux environment</li>
<li>Functional proficiency with Software concepts such as memory management, threading, databases and networking</li>
<li>Familiarity with standard development tools such as git, valgrind, and gdb</li>
</ul>
<p><strong><em>Desirable</em></strong></p>
<ul>
<li>Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving.</li>
<li>Experience deploying ML models to resource-constrained hardware</li>
<li>Experience with CUDA and GPU processing techniques</li>
<li>Proficiency with hard example mining, active learning or dataset composition techniques</li>
<li>Experience calculating metrics for and evaluating autonomous vehicle models</li>
<li>Experience building training and evaluation pipelines for large data (&gt;100TB) or large model (&gt;100GB) applications</li>
</ul>
<h2><span><strong>Physical Requirements</strong></span></h2>
<ul>
<li>Standard office working conditions which includes but is not limited to:</li>
<ul>
<li>Prolonged sitting</li>
<li>Prolonged standing</li>
<li>Prolonged computer use</li>
</ul>
</ul>
<ul>
<li>Travel required? -  Minimal: 1%-10%</li>
</ul>
<hr />
<div>
<div>
<div>
<div>
<div>
<div>
<p><strong>Benefits and Perks</strong></p>
<ul>
<li>Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. </li>
<li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li>
<li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li>
<li>Generous paid parental leave as well as a phased return to work. </li>
<li>Flexible vacation policy in addition to paid company holidays.</li>
<li>Total Wellness Program providing numerous resources for overall wellbeing   </li>
</ul>
</div>
<div>Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</div>
</div>
</div>
</div>
</div>
</div>
<p><em>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/" target="_blank" rel="noopener noreferrer ugc">website</a>!</em></p>
<p><em>May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.</em></p>
<p><strong><em>Note to Recruitment Agencies:</em></strong><em> May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.</em></p><div><div><div>Salary Range</div><div><span>$130,000</span><span>—</span><span>$155,000 USD</span></div></div></div><div><p><em>May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click <a href="https://drive.google.com/file/d/1eGgErDdZ99HVoyxBrVpVUjhdUcmKogki/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">here</a></em></p></div>

Robotics Engineer II

<div><p><span>May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.</span><br /><br /><span>Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></p></div><p>We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.</p>
<h2><span><strong>Essential Responsibilities</strong></span></h2>
<ul>
<li>Design, train and evaluate state of the art models for May’s autonomous driving, simulation and ML Platform stack.</li>
<li>Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.  </li>
<li>Lead small teams of cross functional Engineers beyond the state of the art.</li>
<li>Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale.</li>
</ul>
<h2><span><strong>Skills and Abilities</strong></span></h2>
<p>Success in this role typically requires the following competencies:</p>
<ul>
<li>Direct experience architecting &amp; training VLA, MMLM, or Generative World Models for commercial-scale applications</li>
<li>Experience composing, processing and characterizing large (&gt;100TB) multi-modal datasets</li>
<li>Experience analyzing and addressing long-tail failure cases in large models</li>
<li>Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.</li>
</ul>
<h2><span><strong>Qualifications and Experience</strong></span></h2>
<p>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:</p>
<h3><strong>Required</strong></h3>
<ul>
<li>Extensive practical experience in one of the following domains:</li>
<ul>
<li>Vision Language Action Models</li>
<li>Generative World Models</li>
<li>Foundation Models in Robotics</li>
<li>Data Centric AI</li>
</ul>
<li>A minimum of 4 years of industry experience working on commercial robotics systems.</li>
<li>A minimum of 1 year mentoring ML Engineers in a commercial or lab environment.</li>
<li>Master’s degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.</li>
<li>Practical experience handling the “Long Tail” problem in Machine Learning.</li>
<li>Strong programming skills in Python/PyTorch in a Linux environment.</li>
<li>Functional understanding of LiDAR, Camera and Radar processing techniques.</li>
</ul>
<h3><strong>Desirable</strong></h3>
<ul>
<li>PhD and/or published research in the described specialty domains.</li>
<li>Familiar with common post-training techniques.</li>
<li>Experience deploying models to resource constrained and edge hardware</li>
<li>Functional understanding of C/C++/CUDA memory and threading models.</li>
</ul>
<h2><span><strong>Physical Requirements</strong></span></h2>
<ul>
<li>Standard office working conditions which includes but is not limited to:</li>
<ul>
<li>Prolonged sitting</li>
<li>Prolonged standing</li>
<li>Prolonged computer use</li>
</ul>
<li>Travel required? -  Low: 5%-10%</li>
</ul>
<hr />
<div>
<div>
<div>
<div>
<div>
<div>
<p><strong>Benefits and Perks</strong></p>
<ul>
<li>Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. </li>
<li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li>
<li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li>
<li>Generous paid parental leave as well as a phased return to work. </li>
<li>Flexible vacation policy in addition to paid company holidays.</li>
<li>Total Wellness Program providing numerous resources for overall wellbeing   </li>
</ul>
</div>
<div>Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</div>
</div>
</div>
</div>
</div>
</div>
<p><em>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/" target="_blank" rel="noopener noreferrer ugc">website</a>!</em></p>
<p><em>May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.</em></p>
<p><strong><em>Note to Recruitment Agencies:</em></strong><em> May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.</em></p><div><div><div>Salary Range</div><div><span>$220,000</span><span>—</span><span>$270,000 USD</span></div></div></div><div><p><em>May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click <a href="https://drive.google.com/file/d/1eGgErDdZ99HVoyxBrVpVUjhdUcmKogki/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">here</a></em></p></div>

Lead Machine Learning Engineer

<div><p><span>May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.</span><br /><br /><span>Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></p></div><h2><span><strong>Job Summary</strong></span></h2>
<p>May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.</p>
<p>As Perception Lead, you will own the technical direction of how our vehicles see and interpret the world. This is a hands-on role focused on three priorities: advancing scene detection so the system reliably recognizes its operating context and engages the right behavior; hardening perception against sensor degradation and adverse weather (rain, snow, fog, glare, low light, and sensor soiling or occlusion) so performance degrades gracefully and safely; and driving major architectural updates to evolve our perception stack into a scalable, maintainable, production-grade foundation. You will set the technical bar, mentor engineers, and deliver capabilities that operate safely in the real world.</p>
<h2><span><strong>Essential Responsibilities</strong></span></h2>
<ul>
<li>Work independently with cross-functional teams to develop software and system requirements.</li>
<li>Lead major architectural updates to the perception stack, including system-level design, modularization, and migration strategies that improve scalability, latency, and maintainability across the fleet.</li>
<li>Design, develop, and own scene detection and activation capabilities, classifying the operating scene/scenario and triggering the appropriate perception behaviors and operational design domain (ODD) logic at runtime.</li>
<li>Improve perception robustness under degradation and adverse weather, including sensor fault detection, health monitoring, graceful degradation, and fallback strategies for rain, snow, fog, glare, low-light, and sensor soiling/occlusion conditions.</li>
<li>Design, implement, and test state-of-the-art perception features on time with high quality, industrial-grade production code.</li>
<li>Integrate large-scale multi-modal models (including but not limited to VLMs and LLMs) into the perception stack to improve semantic scene understanding and reasoning.</li>
<li>Track and trend technical performance of perception in the field.</li>
<li>Lead major feature development including feature design, code reviews, issue diagnosis, and resolution.</li>
<li>Lead extensive testing to validate features and satisfy release schedules.</li>
<li>Lead development related to data, development, and ML pipelines, specifically focused on multimodal data alignment for training foundation models.</li>
</ul>
<h2><span><strong>Skills and Abilities</strong></span></h2>
<p>Success in this role typically requires the following competencies:</p>
<ul>
<li>Proven ability to architect and evolve large-scale perception or autonomy systems, balancing performance, latency, safety, and long-term maintainability.</li>
<li>Strong grasp of perception robustness and reliability engineering, including degraded-sensor operation, adverse-weather handling, fault detection, and graceful degradation.</li>
<li>Experience with scene/scenario understanding and runtime activation logic (e.g., context classification, ODD monitoring, behavior triggering).</li>
<li>Familiar with ML development cycle, deployment, and optimization.</li>
<li>Deep understanding of data: data pipeline, data balancing, data mining, and data-driven performance improvement.</li>
<li>Knowledge of multimodal learning techniques, including contrastive learning and prompt engineering for zero-shot visual recognition.</li>
<li>Deep understanding of testing frameworks and workflows.</li>
<li>Excellent attention to detail and rigorous testing methodology.</li>
<li>Exceptional written and verbal communication skills and team-leading abilities.</li>
</ul>
<h2><span><strong>Qualifications and Experience</strong></span></h2>
<p>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:</p>
<h3><strong>Required</strong></h3>
<ul>
<li>A minimum of 5+ years of industry experience working on real-world robot systems maintaining high-quality industrial-grade code.</li>
<li>Master's degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.</li>
<li>Demonstrated experience leading or making major architectural decisions for a perception, robotics, or autonomy software stack.</li>
<li>Strong programming skills in C/C++/Python; software development in Linux environments.</li>
<li>Strong experience in ML/DL development with PyTorch/TensorFlow.</li>
<li>Direct experience developing or fine-tuning large-scale multi-modal models (e.g., multi-sensor fusion models, foundation models, including VLM backbones) for real-world perception applications.</li>
<li>Experience working on a combination of several of the following real-time areas:</li>
<ul>
<li>Computer Vision: object detection, classification, segmentation.</li>
<li>Semantic scene understanding, scene/scenario detection, and open-vocabulary detection.</li>
<li>Perception robustness in degraded or adverse-weather conditions.</li>
<li>Multi-target tracking and sensor fusion.</li>
</ul>
<li>Extensive experience deploying features/ML/DL models in real-time systems with high accuracy and low latency.</li>
</ul>
<h3><strong>Desirable</strong></h3>
<ul>
<li>Experience developing all-weather / adverse-condition perception, sensor degradation modeling, fault detection, and graceful-degradation strategies for safety-critical systems.</li>
<li>Experience with scene/scenario classification, ODD monitoring, and runtime capability activation in autonomous systems.</li>
<li>Experience re-architecting or migrating large, legacy perception systems to modern, scalable frameworks.</li>
<li>Experience utilizing large-scale multi-modal models for edge-case (long-tail) detection and explainable AI in autonomous systems.</li>
<li>Familiar with synthetic data in ML system development.</li>
<li>Familiar with Reinforcement Learning (RL) for ML systems.</li>
<li>Familiar with ML/DL optimization on real-time products with limited compute resources (e.g., quantization of large transformer models).</li>
<li>Strong background demonstrated through high-quality capability deliveries to robots working in the field.</li>
</ul>
<h2><span><strong>Physical Requirements</strong></span></h2>
<ul>
<li>Standard office working conditions which includes but is not limited to:</li>
<ul>
<li>Prolonged sitting</li>
<li>Prolonged standing</li>
<li>Prolonged computer use</li>
</ul>
<li>Travel required? -  Moderate: 11%-25%</li>
</ul>
<div>
<div>
<div>
<div>
<div>
<div><hr />
<p><span><strong>Benefits and Perks</strong></span></p>
<ul>
<li><span>Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. </span></li>
<li><span>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</span></li>
<li><span>Rich retirement benefits, including an immediately vested employer safe harbor match.</span></li>
<li><span>Generous paid parental leave as well as a phased return to work. </span></li>
<li><span>Flexible vacation policy in addition to paid company holidays.</span></li>
<li><span><span>Total Wellness Program providing numerous resources for overall wellbeing  </span> </span></li>
</ul>
</div>
<div><span>Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</span></div>
</div>
</div>
</div>
</div>
</div>
<p><span><em><span>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/" target="_blank" rel="noopener noreferrer ugc">website</a>!</span></em></span></p>
<p><span><em><span>May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.</span></em></span></p>
<p><span><strong><em>Note to Recruitment Agencies:</em></strong><em><span> May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.</span></em></span></p><div><div><div>Salary Range</div><div><span>$235,000</span><span>—</span><span>$275,000 USD</span></div></div></div><div><p><em>May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click <a href="https://drive.google.com/file/d/1eGgErDdZ99HVoyxBrVpVUjhdUcmKogki/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">here</a></em></p></div>

Lead ML/Perception Engineer

<div><p><span>May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.</span><br /><br /><span>Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></p></div><h2><span><strong>Job Summary</strong></span></h2>
<p>May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.</p>
<p>We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and ML concepts to design and operate pipelines that allow May’s Autonomous Driving stack to improve quickly and reliably at scale.</p>
<h2><span><strong>Essential Responsibilities</strong></span></h2>
<ul>
<li>Own the process to transition Autonomous Driving ML models from concept to commercial scale.</li>
<li>Architect and operate data,  training and evaluation pipelines across cloud and cluster environments.</li>
<li>Design and maintain the data and metadata stores that back our training and evaluation workflows.</li>
</ul>
<h2><span><strong>Skills and Abilities</strong></span></h2>
<p><em>Success in this role typically requires the following competencies:</em></p>
<ul>
<li>Employ data and model parallelism training techniques for large data (&gt;100TB) or large model (&gt;100GB) applications</li>
<li>Architecting and operating containerized/pipelined ML Training workloads, including GPU scheduling/autoscaling, dataloader design and experiment tracking.</li>
<li>Building and maintaining CI/CD pipelines and infrastructure.</li>
<li>Working with relational and object stores, and high-throughput data formats for ML workloads.</li>
</ul>
<h2><span><strong>Qualifications and Experience</strong></span></h2>
<p><em>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:</em></p>
<p><strong><em>Required</em></strong></p>
<ul>
<li>Bachelor’s or Master’s degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.</li>
<li>A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.</li>
<li>Proficiency in C++, Python and PyTorch with experience in Linux environments.</li>
<li>Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)</li>
</ul>
<p><strong><em>Desirable</em></strong></p>
<ul>
<li>Familiarity with basic Perception and Planning concepts in Autonomous Driving.</li>
<li>Proficiency in Go or Rust.</li>
<li>Familiarity with ML orchestration and experiment tooling such as Ray, Kubeflow, Airflow, MLflow, or Weights &amp; Biases.</li>
<li>Familiarity with distributed training frameworks (PyTorch DDP/FSDP, DeepSpeed).</li>
<li>Familiarity with data pipeline and storage technologies (Spark, Parquet, object storage, feature/metadata stores).</li>
</ul>
<h2><span><strong>Physical Requirements</strong></span></h2>
<ul>
<li>Standard office working conditions which includes but is not limited to:</li>
<ul>
<li>Prolonged sitting</li>
<li>Prolonged standing</li>
<li>Prolonged computer use</li>
</ul>
</ul>
<p>Travel required? -  Low 5-10%</p>
<hr />
<div>
<div>
<div>
<div>
<div>
<div>
<p><strong>Benefits and Perks</strong></p>
<ul>
<li>Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. </li>
<li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li>
<li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li>
<li>Generous paid parental leave as well as a phased return to work. </li>
<li>Flexible vacation policy in addition to paid company holidays.</li>
<li>Total Wellness Program providing numerous resources for overall wellbeing   </li>
</ul>
</div>
<div>Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</div>
</div>
</div>
</div>
</div>
</div>
<p><em>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/" target="_blank" rel="noopener noreferrer ugc">website</a>!</em></p>
<p><em>May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.</em></p>
<p><strong><em>Note to Recruitment Agencies:</em></strong><em> May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.</em></p><div><div><div>Salary Range</div><div><span>$160,000</span><span>—</span><span>$210,000 USD</span></div></div></div><div><p><em>May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click <a href="https://drive.google.com/file/d/1eGgErDdZ99HVoyxBrVpVUjhdUcmKogki/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">here</a></em></p></div>

Machine Learning Engineer II - Autonomous Driving Training Infrastructure

<div><p><span>May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.</span><br /><br /><span>Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></p></div><h2><strong>Job Summary</strong></h2>
<p>As a Software Engineer II, you will contribute to the design, development, and maintenance of scalable data pipelines that support our data-driven initiatives. You will work independently to define the approach for assigned tasks, applying standard engineering procedures and techniques to solve complex problems. You will be expected to handle ambiguous requirements, exercise full agency over your own work, and ensure that your technical solutions are compatible with systems and platforms in adjacent areas. You will balance technical execution with a clear understanding of business and product outcomes.</p>
<h2><strong>Essential Responsibilities</strong></h2>
<ul>
<li>Contribute to the design, implementation, and maintenance of real-time and historical data pipelines, ensuring adherence to standard procedures and best practices.</li>
<li>Build and maintain well-organized, documented libraries and APIs to manage, search, and analyze vehicle datasets.</li>
<li>Collaborate on the development of front-end interfaces to visualize data and improve fleet operations.</li>
<li>Partner with cross-functional autonomy and platform teams to address software needs, ensuring system compatibility and synchronization.</li>
<li>Independently determine technical approaches to assigned tasks, actively discussing improvements and potential alternatives with the team.</li>
<li>Apply rigorous testing and standard procedures to optimize data processing workflows for performance, scalability, and cost-effectiveness.</li>
<li>Implement data quality checks and monitoring tools, maintaining awareness of the impact of these systems on product and business outcomes.</li>
<li>Proactively invest in professional growth and technical mastery through research and application of industry standards.</li>
</ul>
<h2><strong>Skills and Abilities</strong></h2>
<p> </p>
<p><em>Success in this role typically requires the following competencies:</em></p>
<ul>
<li>Technical Proficiency: Strong software development skills with proficiency in object-oriented programming (Python, Rust, Java, etc.) and a commitment to applying industry-standard techniques.</li>
<li>Problem Solving: Demonstrated ability to identify potential alternatives to solve technical problems and the ability to work independently with ambiguous requirements.</li>
<li>Communication: Effective, clear, and concise communication of both technical and non-technical information to teammates and peers across different domains.</li>
<li>Collaboration: Active contribution to design discussions and a collaborative approach to identifying and resolving dependencies.</li>
<li>Ownership: A high degree of agency in executing assigned specs and a proactive mindset toward system compatibility.</li>
</ul>
<h2><strong>Qualifications and Experience</strong></h2>
<p> </p>
<p><em>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:</em></p>
<ul>
<li>Required</li>
<ul>
<li>B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree or experience.</li>
<li>2+ years of industry experience in software engineering.</li>
<li>Working knowledge of data structures, algorithms, and object-oriented programming.</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) and deployment practices.</li>
<li>Experience with agile development methodologies and CI/CD practices.</li>
</ul>
<li>Desirable</li>
<ul>
<li>Experience building and maintaining data-processing pipelines in a cloud environment.</li>
<li>Knowledge of data warehousing or data lake concepts.</li>
<li>Familiarity with containerization (Docker, Kubernetes) and telemetry systems.</li>
<li>Understanding of real-time data processing and distributed systems.</li>
</ul>
</ul>
<h2><strong>Physical Requirements</strong></h2>
<ul>
<li>Standard office working conditions which includes but is not limited to:</li>
<ul>
<li>Prolonged sitting</li>
<li>Prolonged standing</li>
<li>Prolonged computer use</li>
</ul>
<li>Travel required? -  Minimal: 1%-10%</li>
</ul>
<hr />
<div>
<div>
<div>
<div>
<div>
<div>
<p><strong>Benefits and Perks</strong></p>
<ul>
<li>Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. </li>
<li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li>
<li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li>
<li>Generous paid parental leave as well as a phased return to work. </li>
<li>Flexible vacation policy in addition to paid company holidays.</li>
<li>Total Wellness Program providing numerous resources for overall wellbeing   </li>
</ul>
</div>
<div>Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</div>
</div>
</div>
</div>
</div>
</div>
<p><em>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/" target="_blank" rel="noopener noreferrer ugc">website</a>!</em></p>
<p><em>May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.</em></p>
<p><strong><em>Note to Recruitment Agencies:</em></strong><em> May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.</em></p><div><div><div>Salary Range</div><div><span>$110,000</span><span>—</span><span>$157,000 USD</span></div></div></div><div><p><em>May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click <a href="https://drive.google.com/file/d/1eGgErDdZ99HVoyxBrVpVUjhdUcmKogki/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">here</a></em></p></div>

Maymobility

Open jobs at Maymobility

Robotics Engineer II

Lead Machine Learning Engineer

Lead ML/Perception Engineer

Machine Learning Engineer II - Autonomous Driving Training Infrastructure

Software Engineer II - Data Platform

Working for Maymobility?

Featured companies