Software Engineer, Labelling, Data & Automation

🕒 April 22

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Waabi

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🚗 Transport

🤖 Artificial Intelligence

🔧 Hardware

💰 Venture Round on 2023-01

Transport • Artificial Intelligence • Hardware

Waabi is a company at the forefront of autonomous trucking technology. Led by AI and self-driving pioneer Raquel Urtasun, Waabi uses advanced Generative AI to develop scalable and safe self-driving solutions. The Waabi Driver, their cutting-edge product, blends an end-to-end trained AI stack with an interpretable architecture, facilitating OEM integration and large-scale commercialization. Waabi World, their highly advanced simulation engine, offers a realistic and immersive environment that accelerates the development and deployment of self-driving technology by reducing the reliance on extensive real-world testing. With partnerships and a visionary approach, Waabi aims to revolutionize logistics and supply chain industries.

📋 Description

• Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator. • Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected. • Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system. • Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects. • Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement. • Deploy open-set / embedding models to our production environment - empowering new search and curation modalities. • Champion engineering excellence, ensuring high-quality, well structured, and tested code. • Contribute to project roadmap planning, prioritization, and delivery.

🎯 Requirements

• 4+ years of industry experience. • Bachelor's in computer science, engineering, machine learning, or a related technical discipline. • Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code. • A willingness and ability to learn new skills, technologies, and software libraries as required. • Strong experience with data pipelines for large-scale processing and analysis. • Strong communication and organizational skills. • Understanding of cloud job orchestration, monitoring, and instrumentation best-practices. • Open-minded and collaborative team player with the willingness to help others. • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. • Bonus Points: • Experience with ML pipelines, including dataset curation, labelling, training and evaluation. • Previous experience in self-driving technology or related fields. • Familiar with linear algebra (projections, transforms) and 3D geometry. • Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions). • Experience with with front end development. • Experience working with open-set / embedding models and deploying them in a production setting. • Experience working with infra as code (Terraform, CloudFormation, etc).

🏖️ Benefits

• Competitive compensation and equity awards. • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). • Unlimited Vacation. • Flexible hours and Work from Home support. • Daily drinks, snacks and catered meals (when in office). • Regularly scheduled team building activities and social events both on-site, off-site & virtually. • As we grow, this list continues to evolve!