Publié il y a 7 mois
Software Engineer, Labelling, Data & Automation
@ Waabi
Toronto, Ontario
En bref
Waabi is hiring a Software Engineer for its Labelling and Data Automation team to build pipelines, tools and workflows that feed training data to its self-driving AI models. The role covers data extraction, labelling vendor integration and deployment of embedding models. The posting states a US salary range of $127,000 to $225,000 USD, plus equity, an annual bonus and benefits.
Responsabilités :
- Build tools, pipelines and metrics for autonomy and simulator development
- Manage processes and tooling to find relevant real-world data
- Build reliable systems for data extraction and labelling with vendors
- Define taxonomy, validation rules and success criteria for labelling projects
- Deploy embedding and open-set models to production
Résumé des exigences :
- 4+ years of industry experience
- Bachelor's in computer science, engineering, ML or related field
- Proficient in Python and software engineering fundamentals
- Strong experience with large-scale data pipelines
- Understanding of cloud job orchestration and monitoring
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · lever
- Date publiée par l’employeur
- 2026-04-22
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-11-02
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 4 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer science, Engineering, Machine learning |
| Avantages mentionnés | Congés payés généreux, Horaire flexible, Prime de rendement, Mieux-être, Repas gratuits ou à rabais |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Waabi
Financement et investisseurs
Tour de financement annoncé: Série C
Investisseur nommé dans le tour: Khosla Ventures, G2 Venture Partners, Uber, NVentures, Volvo Group Venture Capital, Porsche Automobil Holding SE, Radical Ventures, HarbourVest Partners, Linse Capital, Incharge Capital, Export Development Canada, TELUS Global Ventures, BMO Global Asset Management
Date de l’annonce: · Source vérifiée: 2026-11-02
Annonce de l’entrepriseProfil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Built to think. Born to haul.
Description complète de l’entreprise
Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]
- Abonnés LinkedIn
- 28 690
- Personnes associées sur LinkedIn
- 291
- Bureaux déclarés
- N/A, Toronto, CA
- San Francisco, California, US
- Catégories d’activité
- Artificial Intelligence
- Transportation
- Automotive
- Artificial Intelligence (AI)
- Machine Learning
- Autonomous Vehicles
- Autres noms enregistrés
- Waabi
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 1 033 036 757
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]
| Champ | Valeur |
|---|---|
| Secteur | Truck Transportation |
| Taille | 51-200 employees |
| Siège social | Toronto |
| Type d’organisation | Privately Held |
| Fondée en | 2021 |
| Offres sur Jobsy | 55 |
| Voir la page |
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/nice to have:
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).
The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/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!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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