Description:

Serve Robotics is seeking a Senior Data Scientist to develop dependable and proficient sidewalk autonomy software.
The role involves bridging the gap between ML infrastructure and ML engineers.
The candidate will prototype and train learning-based models using data-centric techniques.
Responsibilities include designing, developing, and maintaining efficient data and feature extraction pipelines.
The individual will design an auto labeling system using an ensemble of models for various use-cases.
The role requires performing complex data extraction, transformation, and loading (ETL) processes.
The candidate will partner with data infrastructure and ML engineers for seamless integration of data and machine learning workflows.
The position involves producing high-quality, maintainable code and participating in peer code reviews.

Requirements:

A Master’s degree in Computer Science, Data Science, or a related technical field is required, along with 5+ years of industry experience in data engineering, machine learning, or a similar domain.
Strong proficiency in Python and SQL is necessary, with experience in building data pipelines at scale and ETL workflows for multi-modal data.
Proven ability to work with large datasets, including structured, semi-structured, and unstructured data is essential.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or similar is required.
A solid understanding of ML fundamentals and data-centric techniques for model training is necessary.
Experience with cloud platforms (GCP, AWS, or Azure) and tools like Kubernetes, Docker, and Airflow is required.
Excellent communication skills and the ability to collaborate with cross-functional teams are essential.

The position offers the opportunity to work in a dynamic and innovative environment focused on solving real-world problems.
Employees will be part of a diverse and agile team that values collaboration and respect.
The role provides the chance to contribute to the development of cutting-edge technology in robotics and machine learning.
There are opportunities for professional growth and development within the company.