リード機械学習エンジニア - ローカリゼーション
年収 $235,000〜$285,000機械学習エンジニア正社員リード · 7年以上リモート, Ann Arborリモート
自動運転車のローカリゼーションおよび地図技術のための機械学習モデルを設計・研究します。コンピュータサイエンス等の修士号以上と7年以上の実務経験が必須です。PythonまたはC++を用いたリアルタイム最適化のスキルが求められ、11〜25%の出張が発生します。すべての要件を満たしていなくても応募が推奨されています。
自動運転車のローカリゼーションおよび地図技術のための機械学習モデルを設計・研究します。コンピュータサイエンス等の修士号以上と7年以上の実務経験が必須です。PythonまたはC++を用いたリアルタイム最適化のスキルが求められ、11〜25%の出張が発生します。すべての要件を満たしていなくても応募が推奨されています。
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.
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.
The Autonomy Mapping & Localization group builds the spatial intelligence, semantic and topological mapping, and state estimation that let our autonomous vehicles understand where they are and what the world looks like, and we scale that technology safely and reliably to commercial operations serving riders and consumers. We are looking for a Lead ML Engineer to join our team and architect the next generation of our localization stack. As the Lead ML Engineer for Localization, you will build the production-grade feature extraction and state estimation that lets our autonomous vehicles precisely navigate the world's most challenging roads at scale.
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
7+ years of industry experience developing and deploying ML/DL models for computer vision or localization at scale.
Deep expertise in several of the following areas:
Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, 3D reconstruction, and feature detection/description (e.g., SIFT, ORB, SuperPoint).
Vectorized landmark and feature detection networks, BEV-based scene representation, and temporal modeling.
Self-supervised/semi-supervised learning, open-vocabulary detection, and vision/fusion Foundation Models.
Experience with feature extraction and/or fusion from imagery, LiDAR, and/or radar.
Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic data generation, large-scale dataset handling, data curation, and active learning strategies.
Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.
Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.
Proven leadership in developing technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.
Standard office working conditions which includes but is not limited to:
Prolonged sitting
Prolonged standing
Prolonged computer use
Travel required? - Moderate: 11%-25%
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.
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.
****Note to Recruitment Agencies: 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.
Salary Range
$235,000—$285,000 USD
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