Senior Data Scientist, Machine Learning

Vaga não está no LinkedIn

🕒 Junho 11

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $194.834 - $218.284 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Serve Robotics

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2017

🚗 Transporte

🤖 Inteligência Artificial

💰 $30.000.000 Venture Round em 2023-08

Transport • Artificial Intelligence

Serve Robotics é uma empresa inovadora focada em revolucionar a indústria de entregas com seus robôs de entrega autônomos. A empresa visa tornar os serviços de entrega mais acessíveis, sustentáveis e convenientes ao usar robôs autônomos em vez de veículos tradicionais de duas toneladas para entregas pequenas, como burritos. Através de um acordo comercial com a Uber, a Serve Robotics planeja implantar até 2. 000 robôs, marcando um avanço significativo no setor de entregas autônomas.

Descrição

• 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 high quality, maintainable code and participate in peer code reviews to share knowledge and uphold team standards.

🎯 Requisitos

• 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. • Must also have the following special skills: • 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).

🏖️ Benefícios

• Offers Equity