About the role

Aplyr's Quick Take

This role is for a Software Engineer focused on building tools and pipelines for data labeling and automation in AI development. You'll work on extracting and labeling data to support machine learning models, collaborating with both internal teams and external vendors. It's a hands-on position that requires solid programming skills and an understanding of data workflows.

Good fit

Ideal candidates have 4+ years of experience in software engineering, particularly in data handling or machine learning contexts. You should be comfortable working independently and enjoy problem-solving in a collaborative environment.

Worth noting

The role emphasizes engineering excellence and includes responsibilities for project planning and delivery, which may appeal to those looking for a blend of technical and project management work. The focus on real-world data and collaboration with diverse teams could be a unique opportunity for those interested in impactful AI applications.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.

You will..

- 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.

Qualifications:

- 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)

Skills & Tags

python go aws machine learning ai data product design

Aplyr's read

Waabi is advancing autonomous vehicle technology with a focus on AI-driven safety and efficiency, attracting engineers and policy experts to innovate in transportation.
Synthesized from recent postings & public sources

What's promising

•Waabi's focus on AI solutions aims to significantly enhance vehicle safety.
•The company is actively hiring specialized roles, indicating growth and investment in talent.
•Waabi's work in autonomous vehicles could revolutionize transportation efficiency.

What to watch

•Autonomous vehicle technology faces significant regulatory and public acceptance hurdles.
•The industry is highly competitive, with established players like Waymo and Tesla.
•Developing reliable AI for autonomous driving is a complex and lengthy process.

Why Waabi

•Waabi emphasizes AI-driven solutions specifically for safety in autonomous vehicles.
•The company is building a diverse team, from engineers to policy experts.
•Waabi's approach integrates cutting-edge AI with practical vehicle testing and operations.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Waabi

Waabi

waabi.ai

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Waabi is a technology company focused on developing artificial intelligence solutions for autonomous vehicles, aiming to improve safety and efficiency in transportation.