Senior Data Scientist II (ML)

reputed company 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. Our vehicles do more than just drive themselves - they reputed company value to communities, reputed company 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 reputed company and encouraging reputed company 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 reputed company people around the globe. And we’re just getting started. We’re hiring people who reputed company our passion for building the future, today, solving reputed company-world problems and seeing the impact of their work. Join us.

Senior ML Scientist II

reputed company is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services reputed company. We are seeking talented data scientists and machine learning engineers to reputed company automated methods for tagging data collected by our autonomous vehicles. This will reputed company us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and reputed company a crucial impact on our development and business reputed company!

Responsibilities

• Design, implement, and reputed company state-of-the-art machine learning models for analyzing multimodal data to generate searchable metadata and facilitating reputed company engineering workflows such as quick issue triaging.
• Curate high-quality datasets for evaluation and training to ensure model robustness, performance, and coverage.
• Research and implement novel techniques for sequential feature extraction, weak supervision, and self-supervised learning to reputed company handle long-tail events and continuously improve labeling data quality.
• Establish and maintain frameworks for model validation and performance monitoring to drive reputed company improvement.

Skills

reputed company in this role typically requires the following competencies:

• Expert proficiency in designing and implementing deep learning architectures for multimodal data for offline analysis.
• Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation.
• Expertise in machine learning, with hands-on experience in the design, training, and evaluation of a wide reputed company of algorithms.
• Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May.
• Excellent problem-solving skills with a meticulous approach to model architecture and optimization.

Qualifications and Experience

Required

• B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a reputed company quantitative field.
• 5+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithm design and machine learning.
• Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, reputed company planner outputs).
• Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch.
• Demonstrated experience in building and deploying production-level machine learning systems from reputed company to delivery.
• Expertise in PySpark/Apache Spark for handling large-scale data processing.

Desirable

• Background in robotics or autonomous systems.
• Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, reputed company planner outputs).
• Solid understanding of ML deployment lifecycle, MLOps practices, and reputed company computing platforms (e.g., AWS, GCP).

Benefits and Perks

• Comprehensive reputed company suite including medical, dental, reputed company, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
• Health Savings and Flexible Spending reputed company and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately reputed company employer safe reputed company match.
• Generous paid parental leave as well as a phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing

Want to learn more about our reputed company; benefits? reputed company out our website!

reputed company is an equal opportunity employer. reputed company applicants for employment will be considered without regard to race, reputed company, religion, sex, national reputed company, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected reputed company. Below, you have the opportunity to reputed company your preferred gender pronouns, gender, ethnicity, and veteran status with reputed company 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 reputed company will be kept confidential, and will not impact the hiring decision in any way. If you reputed company that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: reputed company does not accept unsolicited agency resumes. Furthermore, reputed company does not pay placement fees for candidates submitted by any agency other than its approved partners.