Lead Data Scientist

As a Lead Data Scientist, you will be a critical contributor to the design, development, and deployment of advanced machine learning solutions. Your expertise will be instrumental in leveraging large-scale, multi-modal video and sensor streams to create automated, scalable systems that extract meaningful insights. This role requires a hands-on approach to the entire ML lifecycle, from problem analysis to building and productionizing robust, scalable models, with a primary focus on making unstructured video data accessible and searchable.

• Develop video understanding models, from design and implementation to fine-tuning
• Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability, low latency, and reliability for real-time and offline processing.
• 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.
• Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations.
• Write clean, efficient, and well-documented Python code, adhering to best practices for data science development in a production environment.

• Expertise in deep learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms.
• Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May.
• Proven ability to build and productionize embedding-based models and large-scale systems.
• Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch.
• Experience with distributed computing frameworks such as PySpark or Dask for processing large-scale video datasets.
• Excellent problem-solving skills with a meticulous approach to model architecture and optimization.
• Ability to provide individual and team mentorship, including technical leadership for complex projects
• Experience with Vision-Language Models (VLMs) and fine-tuning large-scale foundational models for multi-modal tasks is a strong plus.

Required

• B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
• 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning.
• Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery.
• Proven track record of building and fine-tuning deep learning models
• Direct experience working with multi-modal datasets, including video, image, and sensor data.
• Extensive experience with programming languages such as Python and distributed computing frameworks.

Desirable

• Demonstrated ability to mentor and support junior engineers
• Experience with Vision-Language Models (VLMs) or other large-scale foundational models.
• Background in robotics, autonomous systems, or natural language processing.
• Experience with MLOps platforms and cloud machine learning services.

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Lift up to 50 pounds

• Remote role based out of Ann Arbor, MI.
  • Remote employees work primarily from home or an alternative work space.
• Travel requirements - 0%

The salary range provided is based on a position located in the state of Michigan.  Our salary ranges can vary across different locations in the United States.

Want to learn more about our culture & benefits? Check out our website!

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.