Postuler

Publié il y a 6 mois

Applied Scientist

@ Waabi

Toronto, Ontario

TélétravailTemps plein3+ ans d’expérience
Postuler
SIGNAUX

En bref

Waabi is hiring an Applied Data Scientist to build a unified view of its autonomous driving evaluation methodology across simulation, track and public road testing. The role involves dashboards, eval pipeline tooling and anomaly investigation with Safety and Autonomy teams. Full-time, with a US salary of $128,000 to $184,000 USD plus equity and an annual bonus.

Responsabilités :

  • Analyze autonomy system performance across simulation, track and public road testing
  • Build and maintain cross-modal performance dashboards
  • Partner with Data Platform and Evaluation teams on eval tooling and pipelines
  • Investigate anomalies in metrics to ensure reliable data

Résumé des exigences :

  • 3+ years in an analytical role
  • BS or MS in a quantitative field
  • Strong SQL and familiarity with Python
  • Experience building automated dashboards
  • Experience with cross-functional stakeholders

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesSoins de la vueCongés payésMieux-êtreOptions d’achat
Source et dates

Site carrière / système de candidatures · lever

Date publiée par l’employeur
2026-05-12
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-11-07

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

Détails du poste

NiveauIntermédiaire
DomaineDonnées et analytique
Expérience3 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (exigé)
Domaines d’étudesComputer Science, Engineering, Statistics, Physics
Avantages mentionnésCongés payés généreux, Horaire flexible, 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’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 Jobsy55
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 Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.

You will...

  • Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.
  • Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones.
  • Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities.
  • Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.
  • Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.

Qualifications:

  • Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).
  • BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.
  • Strong command of SQL, and familiarity with Python for data manipulation and prototyping.
  • Experience building clear, automated dashboards using modern BI tools or custom frameworks.
  • Experience working with internal cross-functional partners/stakeholders
  • Open-minded and collaborative team player with willingness to help others
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

  • Experience in the Autonomous Vehicle or Robotics industry.
  • Experience with large scale databases and analytics
  • Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement

The US yearly salary range for this role is: $128,000 - $184,000 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.

Emplois semblables

  • Applied Scientist II, Sponsored Products and Brands Agent

    Toronto, ON
    Temps plein

    Amazon Development Centre Canada ULC

    3+ ansCandidates need 3+ years of experience building models for business applications and programming in Java, C++, Python or a related language. Experience in algorithms, data mining, numerical optimization, or distributed computing is required, and Unix/Linux and professional software development are preferred.

    Research, Problem solving, Oracle Java, C++, Python, Data mining

    Applied Scientist III, RBKS AI

    Toronto, ON
    Temps plein

    Amazon Development Centre Canada ULC

    5+ ansCandidates need a PhD, or a Master's degree with 8+ years of applied research experience, plus 5+ years of hands-on computer vision and GenAI work in frameworks such as PyTorch or Jax. Strong Python skills and experience building multimodal LLMs and optimizing vision models are required.

    PyTorch, Jax, Python

    Applied Scientist, Ring AI

    Toronto, ON
    Temps plein

    Amazon Development Centre Canada ULC

    4+ ansCandidates need a PhD, or a Master's degree and 4+ years of experience in computer science, computer engineering, machine learning or a related field. They must have built machine learning models and programmed in Java, C++ or Python. Experience with vision language models and LLMs is preferred.

    ML, Machine learning, Oracle Java, C++, Python, Recruitment

    Applied Scientist, Sales AI

    Toronto, ON
    Temps plein

    Amazon Development Centre Canada ULC

    3+ ansCandidates need 3+ years building business models, and a PhD or a Master's with 4+ years of CS, ML or related experience. They should know Python, Java or C++, have expertise in NLP, LLMs, deep learning, reinforcement learning or recommender systems, and communicate complex findings to stakeholders.

    Python, Java, C++, Unix/Linux

    Applied Scientist, Sales AI

    Toronto, ON
    Temps plein

    Amazon Development Centre Canada ULC

    3+ ansCandidates need 3+ years building business models, a PhD or a Master's with 4+ years in a related field, and programming in Python, Java or C++. Publications or patents in peer-reviewed venues are required, and experience with Unix/Linux and professional software development is preferred.

    Unix/Linux

    Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)

    Toronto, ON
    Temps plein

    Amazon Development Centre Canada ULC

    3+ ansCandidates need at least 3 years building machine learning models for business applications, plus a PhD or a Master's with 6 years of applied research. Programming in Java, C++ or Python and experience with neural deep learning methods are required.

    TensorFlow, scikit-learn, Spark MLlib, MXNet, NumPy, SciPy

  • Applied Scientist, Amazon Canada Technology, Amazon Canada

    Vancouver, BC +1
    Temps plein

    Amazon.com.ca, ULC

    3+ ansCandidates need at least 3 years of experience building models for business applications, a background in computer science, machine learning or a related field, and programming skills in Java, C++ or Python. A PhD or Master's degree and Unix/Linux experience are preferred.

    Unix/Linux

  • Applied Scientist, AI Risk

    Toronto, ON
    Sur placeTemps plein

    Armilla AI

    Candidates need a Master's or PhD in computer science, machine learning, statistics or a related field, with applied AI/ML research experience. They also need strong Python skills, hands-on experience with deep learning frameworks, and familiarity with LLM evaluation and safety.

    Python, PyTorch, TensorFlow, JAX, NumPy, Pandas

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.