Senior Data Scientist, Machine Learning

• Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets.
• Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing high-quality data for model training.
• Design auto labeling system using ensemble of models that can reason from multimodal data for different use-cases, including image semantic labeling using vision grounded models, intent and path prediction ground truth.
• Perform complex data extraction, transformation, and loading (ETL) processes, ensuring data is clean, accessible, and well-documented.

This role directly contributes to making robotic deliveries efficient and ubiquitous, reducing congestion and emissions from traditional delivery vehicles, and increasing access to deliveries for more people.

• Bachelor’s Degree or U.S. equivalent in Computer Science, Data Science, or a related field.
• 5 years of professional experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or similar role performing software engineering and machine learning.
• 5 years of experience with SQL, machine-learning frameworks (TensorFlow, PyTorch), data pipelines for multi-modal data, cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes, Airflow), and cross-functional collaboration.
• 3 years of experience programming in Python and building scalable data pipelines or ETL workflows.

Salary: $194,834 - $218,284 per year. Position allows 100% telecommuting from anywhere in the U.S.

Serve Robotics is reimagining how things move in cities with personable sidewalk robots designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.