Serve Robotics
Software
SeniorDataScientist,MachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist, Machine Learning at Serve Robotics. Skills: Machine Learning, Data Science, Data Engineering, MLOps. Prototype learning-based models. Train learning-based models”
Industry & Context.
Complex data problems
What They're Looking For.
Must Have
Bachelor's Degree or U.S. equivalent in Computer Science, Data Science, or related field, 5 years of professional experience as Data Scientist, ML Engineer, Data Engineer, or software engineering/ML, 5 years utilizing SQL for complex queries, 5 years utilizing machine-learning frameworks, 5 years designing and developing data and feature extraction pipelines, 5 years training and prototyping machine-learning models, 5 years utilizing cloud platforms (AWS, GCP, or Azure), 5 years utilizing containerization and workflow tools (Docker, Kubernetes, or Airflow), 5 years collaborating with cross-functional engineering teams, 3 years programming in Python, 1 year working with relational databases and SQL
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Prototype learning-based models
Train learning-based models
Apply automated feature engineering
Apply active learning
Apply fine-tuning on curated data
Design data pipelines
Develop data pipelines
Maintain data pipelines
Design auto labeling system
Reason from multimodal data
Perform complex data extraction
Perform data transformation
Write high quality SQL queries
Optimize high quality SQL queries
Integrate data and machine learning
Produce high-quality code
Participate in peer code reviews
How You'll Work.
Team & Collaboration
Cross-functional engineering teams
Full Job Description
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, Miami, Dallas, Atlanta and Chicago 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. 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; 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; and Produce highquality, maintainable code and participate in peer code
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