Postuler

Publié il y a 4 mois

Senior Machine Learning Engineer

@ Jumio

Montréal, Québec

5+ ans d’expérience
Postuler
SIGNAUX

En bref

Jumio is hiring a Senior Machine Learning Engineer with computer vision expertise for its Biometrics team. The role covers designing, training and scaling ML systems end-to-end on AWS, including face detection, quality assessment and recognition. The final job level is set after interviews.

Responsabilités :

  • Design and develop computer vision models and pipelines for biometrics
  • Benchmark models across datasets and operating conditions
  • Train and optimize models with PyTorch, TensorFlow or JAX
  • Build and deploy end-to-end ML pipelines on AWS
  • Mentor ML engineers on best practices

Résumé des exigences :

  • 5+ years of ML experience focused on computer vision
  • Strong computer vision fundamentals
  • Strong Python and production-ready code
  • Experience with ML pipelines and Airflow
  • GPU training and deploying ML services on AWS

Outils et compétences

Source et dates

Site carrière / système de candidatures · greenhouse

Date publiée par l’employeur
2026-06-26
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-10

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience5 an(s) et plus
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

ChampValeur
Siège socialPalo Alto
Offres sur Jobsy3
Description

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.

What You’ll Do

  • Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition
  • Collaborate on benchmarking of models across datasets and operating conditions
  • Train and optimize models using PyTorch, TensorFlow, and/or JAX
  • Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning.
  • Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS.
  • Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team.

What We’re Looking For

  • Experience: 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models)
  • Strong Computer Vision fundamentals
  • Fairness & Ethics: Awareness of algorithmic bias and willingness to learn domain-specific fairness practices
  • Strong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code
  • Systems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow
  • Cloud Native: Experience with GPU-based training and deploying ML services on AWS

Nice to Have

  • Research Publications in top computer vision venues (CVPR, ICCV, ECCV)
  • Large Scale Search: Familiarity with vector databases and ANN search
  • Synthetic Data: Experience with GANs or diffusion models for data augmentation
  • Mobile/Edge Experience: CoreML, LiteRT, and/or TFLite
  • Familiarity with privacy, security, and compliance considerations in sensitive ML applications

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities:

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy

We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to [email protected].

Emplois semblables

  • Senior Machine Learning Engineer

    Toronto, ON
    TélétravailTemps plein

    Wiser Solutions

    7+ ansCandidates need 7+ years in ML or AI engineering with a record of shipping and owning production systems. They need hands-on experience with model training and evaluation, LLMs, RAG, embeddings, vector databases, MLOps tooling and AWS, plus strong Python.

    AWS SageMaker, AWS Bedrock, MLflow, Weights & Biases, Airflow, Python

  • Machine Learning Engineer

    Vancouver, BC
    Sur placeTemps plein

    Sanctuary AI

    3+ ansSanctuary AI needs candidates with a Master's or PhD in a related field, 3+ years of ML experience and 4+ years of production software engineering. Strong Python and C++, hands-on ML deployment, ROS2 and parallel computing experience are key, and robotics familiarity is highly desirable.

    PyTorch, TensorFlow, scikit-learn, ROS2, CUDA, OpenMP

  • Senior Machine Learning Engineer / Applied Scientist

    Vancouver, BC
    114k–204k $/anSur placeTemps plein

    Microsoft: Every company has a mission.

    4+ ansCandidates need a bachelor's, master's or doctorate in a related field plus years of relevant experience, or equivalent experience. Hands-on LLM, production ML and software engineering skills are required, and candidates must pass Microsoft Cloud background checks.

    Machine learning, ML, Statistics, Computer science, Computer engineering, Research

  • Senior Machine Learning Engineer

    Toronto, ON
    Contrat

    Randstad Canada

    Candidates need advanced hands-on experience with Azure Machine Learning, MLOps, CI/CD and containerized deployment, plus strong Python and production ML engineering skills. Deep knowledge of ML algorithms, statistics and data drift is also required.

    Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, VS Code

  • Machine Learning Engineer

    Toronto, ON
    65–75 $/hContrat

    Altis

    Candidates need extensive hands-on experience deploying machine learning models in production, plus advanced skills in Azure Machine Learning, MLOps and model monitoring. Strong Python and SQL skills, a solid grounding in statistics and ML algorithms, and clear communication with stakeholders are also needed.

    Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, VS Code

  • Machine Learning Engineer, AI Software (C++)

    Markham, ON
    Sur place

    Qualcomm Canada ULC

    3+ ansCandidates need a bachelor's degree in computer science, engineering or a related field, and ideally three or more years of relevant experience. Strong C++17, embedded systems and machine learning framework skills are preferred.

    Git, Linux, JIRA, Docker, Hexagon DSP SDK, QNN

  • Senior Machine Learning Engineer

    Vancouver, BC +2
    Temps plein

    Themis Solutions Inc.

    Candidates need hands-on experience shipping agentic systems, strong data preparation skills for complex unstructured data, and experience with open-source LLMs and commercial LLM APIs. Mentorship in agile software teams and clear communication with internal and external stakeholders are also required.

    ChatGPT, Gemini

  • Machine Learning Engineer

    Toronto, ON

    Scotiabank

    8+ ans3+ gestionCandidates need 8+ years of progressive software, data or technology delivery experience, including 3+ years leading technical teams, and experience delivering enterprise solutions in regulated environments. Strong knowledge of SDLC, Agile, DevOps and CI/CD, plus hands-on familiarity with cloud, SQL/Python/Java/.NET, ETL tools and data governance, is expected.

    Azure DevOps, Git, Azure Data Factory, Databricks, Informatica, DataStage

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.