Senior Data Scientist, Machine Learning

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries.

We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

What you’ll be doing

Serve Robotics aims to develop dependable and proficient sidewalk autonomy software. We are looking for a talented Senior Data Scientist who bridges the gap between ML infrastructure and ML engineers. The ideal candidate possesses strong fundamentals in machine learning, with the ability to prototype and train learning-based models using data-centric techniques. This individual should also have expertise in data ETL processes, SQL queries, and building scalable data pipelines to make data accessible for model training.

Responsibilities

• 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 multi-modal data for different use-cases, such as 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. Write and optimize high-quality SQL queries for data analysis and ingestion from various sources.
• Partner with data infrastructure and ML engineers to ensure seamless integration of data and machine learning workflows.
• Produce high-quality, maintainable code and participate in peer code reviews to share knowledge and uphold team standards.

Qualifications

What makes you standout

Company : Serve Robotics

Level of experience (years) :

Senior (5 years of experience)

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