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Publié il y a 2 mois

Safety Methodologies Internship/Co-op 2027

@ Waabi

Toronto, Ontario

HybrideStage
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En bref

Waabi is hiring a Safety Methodologies Intern for a full-time summer internship from May/June 2027 to August/September 2027. The intern supports the safety team by building Python tools, metrics and collision models that help validate the safety of its autonomous trucking solution. Transcripts must be submitted alongside the resume.

Responsabilités :

  • Build Python tools to calculate collision metrics and visualize data
  • Optimize data pipelines and automated safety validation workflows
  • Analyze large crash databases with multivariate models
  • Run A/B tests on collision models
  • Integrate models into safety evaluation pipelines

Résumé des exigences :

  • Currently enrolled in a Bachelor's, Master's or PhD program in a related field
  • Experience handling missing values, anomalies and outliers
  • Solid foundation in regression, classification and hypothesis testing
  • Strong Python skills with Pandas and NumPy
  • Uses AI tooling to prototype and validate code

Outils et compétences

Source et dates

Site carrière / système de candidatures · lever

Date publiée par l’employeur
2026-09-09
Première détection par notre source
2026-10-16
Mise à jour du dossier source
2026-10-16

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineDéveloppement logiciel
Heures par semaine40
Horairejour
SaisonnierOui
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (exigé), Doctorat (exigé)
Domaines d’étudesComputer Science, Robotics, Mathematics, Statistics
Avantages mentionnésRepas 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’entreprise
Profil 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]

ChampValeur
SecteurTruck Transportation
Taille51-200 employees
Siège socialToronto
Type d’organisationPrivately Held
Fondée en2021
Offres sur Jobsy54
LinkedInVoir la page
Description

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

At the heart of our mission is an unwavering commitment to safety. We are seeking a curious and analytical Safety Methodologies Intern to support the development and implementation of the frameworks that underpin our driverless readiness decisions. This is a unique opportunity to gain hands-on experience in the autonomous vehicle industry, and you will be helping us quantitatively validate the safety of our autonomous trucking solution using our highly realistic simulator and real-world data. We are looking for a driven, inquisitive self-starter who will use their diverse background to dive headfirst into our data and tooling to generate actionable insights for the Safety team.

Application Instructions:

- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside your resume for further review.

- The Summer Internship is expected to start May/June 2027 and continue on a full-time basis (40 hours/week) to August/September 2027.

You will…

- Develop Python scripts and tools to calculate quantitative metrics and visualize complex data for collision assessment.

- Support optimization of data pipelines and automated assessment workflows used for safety validation.

- Explore large crash databases and apply multivariate modeling techniques to predict collision related metrics. Gain an in-depth understanding of the ins and outs of publicly available safety resources.

- Conduct A/B testing on collision models using metrics that you develop within the context of our broader safety framework.

- Collaborate with the safety team to integrate the models you develop into safety evaluation pipelines.

Qualifications:

- Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mathematics, Statistics, or a related field.

- Experience identifying and handling missing values, anomalies, and outliers in large-scale, real-world datasets.

- Solid foundation in regression, classification, and hypothesis testing, with the ability to surface patterns in large-scale tabular data.

- AI-native — uses AI tooling to rapidly experiment, prototype, and harden code, and can rigorously validate the results.

- Strong Python scripting skills, including hands-on experience with data manipulation libraries (e.g., Pandas, NumPy).

- Able to communicate complex technical concepts clearly and accurately.

- Collaborative team player who works effectively across functional boundaries.

- Genuinely excited about self-driving technology and drawn to solving hard, unsolved problems.

Bonus/nice to have:

- Previous internship or academic experience in robotics, automotive, or data science.

- Experience with SQL or other data mining tools.

- Experience creating data visualizations or dashboards.

The US hourly range for this role is: $40-$52 USD and the Canada hourly range for this role is: $41-$53 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s hourly ranges are determined based on several factors in accordance with the Company’s compensation practices. The hourly range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.

Perks/Benefits:

Waabi provides a competitive benefits package that includes:

  • Daily drinks, snacks and catered meals (when in office)
  • Regularly scheduled team building activities and social events
  • 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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