[Remote] Senior ML Scientist at May Mobility

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related 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, motion 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 conception to delivery
Expertise in PySpark/Apache Spark for handling large-scale data processing

Responsibilities

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

Skills

May Mobility

Operates autonomous vehicle mobility solutions

About May Mobility

May Mobility focuses on transforming urban transportation through autonomous vehicles. Their self-driving technology utilizes real-time, on-board simulations to anticipate and safely navigate unexpected road situations, which is a major challenge in the industry. This capability ensures that their vehicles can respond effectively to various scenarios, prioritizing the safety of passengers and other road users. May Mobility partners with cities and businesses globally, providing solutions that enhance mobility convenience, safety, and environmental sustainability. Their unique approach to handling unpredictable situations sets them apart from competitors, as they aim to improve urban transportation and make cities more accessible and visually appealing.

Ann Arbor, MichiganHeadquarters

2017Year Founded

$375.1MTotal Funding

SERIES_DCompany Stage

Automotive & Transportation, Government & Public SectorIndustries

201-500Employees

Benefits

Health, vision, & dental

Unlimited paid vacations & generous holidays

Paid parental leave

Stock options

Daily catered lunches & snacks

Flexible schedule

Risks

Increased competition from Waymo with a $5 billion investment poses a market challenge.

Federal scrutiny on safety practices could lead to regulatory challenges for May Mobility.

Wayve's $1.05 billion funding for AI advancements poses a competitive threat.

Differentiation

May Mobility uses real-time simulations for safe navigation in unexpected road situations.

The company partners with cities to enhance urban transportation with autonomous shuttles.

May Mobility's technology reduces pollution and human error, improving community economic benefits.

Upsides

Expansion to Japan shows global demand for May Mobility's autonomous solutions.

Partnerships with cities like Detroit enhance public transportation and accessibility.

Rising interest in autonomous B2B trucking offers new market opportunities for May Mobility.

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