Senior Data Scientist, Machine Learning

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $194.8k - $218.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Serve Robotics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🚗 Transport

🤖 Artificial Intelligence

💰 $30M Venture Round on 2023-08

Transport • Artificial Intelligence

Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.

📋 Description

• 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 • Produce highquality, maintainable code and participate in peer code reviews to share knowledge and uphold team standards

🎯 Requirements

• 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 any occupation, job title, or position performing software engineering and machine learning. • 5 years of professional experience utilizing SQL to write and optimize complex queries for extraction, analysis, and ingestion of structured, semi-structured, and unstructured data • 5 years of professional experience utilizing machine-learning frameworks (including TensorFlow and PyTorch) • 5 years of professional experience designing and developing data and feature extraction pipelines, including pipelines for multi-modal data (including images, point clouds, or time-series) • 5 years of professional experience training and prototyping machine-learning models using data-centric techniques including automated feature engineering, active learning, and fine-tuning • 5 years of professional experience utilizing cloud platforms including AWS, GCP, or Azure • 5 years of professional experience utilizing containerization and workflow tools including Docker, Kubernetes, or Airflow • 5 years of professional experience collaborating with cross-functional engineering teams to integrate data pipelines and ML workflows • 3 years of professional experience programming in Python, building scalable data pipelines, or implementing ETL workflows • 1 year of professional experience working with relational databases and SQL (including Postgres, Redshift, or SQL Server)

🏖️ Benefits

• Offers Equity