25 meilleures offres (lead machine learning engineer, canada) (à pourvoir)

Lead Machine Learning Engineer
Serve Robotics —Vancouver, BC
- De 225 000 $ à 260 000 $ par an
- Temps plein
- Télétravail
- Doctorat
- Informatique
- Ingénierie
Lead Machine Learning Engineer
Datatonic —Montréal, QC
- De 175 000 $ à 200 000 $ par an
- Temps plein
- Télétravail
- SQL
- Apprentissage automatique
- APIs
- Jours fériés payés
Machine Learning Software Engineer Team Lead
Royal Bank of Canada —Toronto, ON
- Temps plein
- Informatique
- Apprentissage automatique
- Intelligence artificielle
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group —Toronto, ON
- De 200 000 $ à 250 000 $ par an
- Azure
- Expérience en gestion
- Doctorat
Model Risk Management Lead, Machine Learning
Affirm —Toronto, ON
- De 145 000 $ à 205 000 $ par an
- Télétravail
- Doctorat
- Informatique
- Maîtrise
- Plan d'actionnariat des employés
- Assurance Dentaire
il y a 5 jours
Product Lead
Create Music Group —À domicile
- De 155 000 $ à 175 000 $ par an
- Temps plein
- Télétravail
- Baccalauréat
- Diplôme universitaire non requis
- Gestion de produits
Postuler rapidement
il y a 1 jour
Internal Controls Lead (BC)
Square One Insurance Services —Vancouver, BC
- De 75 000 $ à 85 000 $ par an
- Temps plein
- Travail hybride
- SQL
- Baccalauréat
- Apprentissage automatique
- Régimes de participation aux bénéfices
- Assurance Invalidité
Postuler rapidement
il y a 9 jours
Content Producer & Media Lead
Carey Hall —Vancouver, BC
- De 80 000 $ à 100 000 $ par an
- Temps plein
- Travail hybride
- Éducation
- Baccalauréat
- Intelligence artificielle
- Assurance Dentaire
Postuler rapidement
Tech Lead
Tactable —Toronto, ON
- De 150 000 $ à 190 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Anglais
- AWS
- Assurance Dentaire
- Congés payés
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Software & Infrastructure leads
Radical Towers —Montréal, QC
- À partir de 75 000 $ par an
- Temps plein
- Travail hybride
- Bilingue
- DevOps
- Anglais
- Heures d'arrivée et de départ flexibles
Postuler rapidement
Labour Optimization Lead
Dexterra —Calgary, AB
- De 100 000 $ à 140 000 $ par an
- Temps plein
- Travail hybride
- Microsoft Excel
- Ingénierie
- Analyse de données
Postuler rapidement
Lead, Data Engineer
Canfor —Vancouver, BC
- De 120 000 $ à 140 000 $ par an
- Azure
- Oracle
- Expérience en gestion
Postuler rapidement
Labour Optimization Lead
Dexterra —Mississauga, ON
- De 100 000 $ à 140 000 $ par an
- Temps plein
- Travail hybride
- Microsoft Excel
- Ingénierie
- Analyse de données
Postuler rapidement
Lead Developer - Research & Development
Citco —Halifax, NS
- Temps plein
- Informatique
- AWS
- Apprentissage automatique
Engineering Lead
Shift Systems Inc. / MYSHIFT —Vancouver, BC
- De 150 000 $ à 180 000 $ par an
- Temps plein
- Travail hybride
- CAD
- Anglais
- Java
Postuler rapidement
Applications Development Technology Senior Lead Analyst - Senior Vice President
Citi —Mississauga, ON
- De 145 100 $ à 217 700 $ par an
- Temps plein
- Java
- Maîtrise
- AWS
il y a 7 jours
Computational Science Lead
Sanofi EU —Toronto, ON
- De 125 300,00 $ à 180 966,66 $ par an
- Doctorat
- Informatique
- Maîtrise
il y a 1 jour
Lead Transformation Approvisionnement numérique (IA, Automatisation & Source-to-Pay)
Agropur —Saint-Hubert, QC
- De 118 000 $ à 147 500 $ par an
- Temps plein
- Bilingue
- Anglais
- Baccalauréat
- Programme d'Aide aux Employés
il y a 14 jours
AI Adoption Lead
BIS Safety Software —Sherwood Park, AB
- De 70 000 $ à 90 000 $ par an
- Temps plein
- PMP
- Gestion de projet
- APIs
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
Lead, Data Engineer
McKesson —Mississauga, ON
- De 122 100 $ à 162 800 $ par an
- Azure
- SQL
- Scriptage
President, Business Unit Leader
Jonas Software —À domicile
- Temps plein
- Télétravail
- Baccalauréat
- Déplacements à prévoir
- Gestion de budget
- Plan d'actionnariat des employés
- Assurance Invalidité
Postuler rapidement
Lead, Payments Delivery
Jonas Club Software —Markham, ON
- De 75 000 $ à 90 000 $ par an
- Temps plein
- Travail hybride
- Gestion de projet
- Sens de l'organisation
- En présentiel
- Programmes de Bien-être
- Plan d'actionnariat des employés
Postuler rapidement
Quadient Tech lead
APPTOZA INC. —Toronto, ON
- De 65 $ à 70 $ de l’heure
- Java
- AWS
- Développement logiciel
Postuler rapidement
il y a 13 jours
Lead Gen AI
WISSEN TECHNOLOGY PRIVATE LIMITED —Montréal, QC
- Temps plein
- Azure
- Informatique
- DevOps
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
Lead Data Scientist - AgenticAI
McKesson —Mississauga, ON
- De 122 100 $ à 162 800 $ par an
- Azure
- Doctorat
- Informatique

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : lead machine learning engineer (canada)

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Lead Machine Learning Engineer

Serve Robotics
Vancouver, BC

Postuler dès maintenant

Détails du poste

Temps plein

Compétences

Node.js
Doctorat
Informatique
Ingénierie
Maîtrise
Apprentissage automatique
Agile
Entraînement de modèle
Électrotechnique
Robotique
Évaluation de modèle
Python

Description complète du poste

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

This role develops and scales large-scale machine learning training systems for multimodal robotics data, enabling the creation of high-performance autonomy models. By optimizing distributed training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. The role collaborates closely with ML researchers and infrastructure teams, influencing the design, deployment, and performance of end-to-end autonomy models and the large-scale data pipelines that support them.

Responsibilities

Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets (e.g., video and point cloud data). This includes ensuring data is efficiently loaded, distributed, and processed across large GPU clusters.
Identify and resolve bottlenecks in the training pipeline, including data loading, preprocessing, model computation, and inter-node communication, to maximize GPU utilization and reduce training time.
Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks, particularly those handling high-dimensional and sequential sensor data.
Create and adjust loss functions and training strategies that help the model learn effectively from complex multimodal inputs and improve autonomy performance.
Configure, monitor, and maintain large-scale distributed training jobs across multiple machines and GPUs, ensuring stability, fault tolerance, and efficient resource usage.
Implement scalable systems to preprocess, transform, and augment large robotics datasets so that they are suitable for model training.
Work closely with ML scientists and other engineers to integrate new models, experiments, and training approaches into the production training pipeline.
Analyze training metrics, model outputs, and experiment logs to assess model performance and guide improvements in architecture, data usage, or training strategies.
Develop tools and workflows that allow teams to run experiments, track results, and iterate quickly on new model ideas or training approaches.

Qualifications

Master’s or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline.
Minimum of 5 years of professional experience developing, training, and deploying machine learning models in production environments.
Hands-on experience training machine learning models across multiple GPUs or compute nodes, including familiarity with distributed training frameworks and large dataset handling.
Strong programming skills in Python for implementing machine learning models, data pipelines, and training workflows.
Solid knowledge of core concepts such as neural networks, optimization algorithms, loss functions, model evaluation, and training methodologies.

What Makes You Stand out

Experience identifying and resolving training bottlenecks related to compute utilization, memory usage, and data throughput in machine learning systems.
Experience training machine learning models on robotics or autonomous driving datasets involving multimodal sensor inputs such as camera video, LiDAR point clouds, radar, or telemetry data.
Experience developing models that combine multiple data modalities (e.g., images, point clouds, and structured sensor data) into a unified learning system.
Peer-reviewed publications or significant research contributions in machine learning, robotics, or related areas.

Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
Canada - ALL: $177k - $215k CAD

Compensation Range: $225K - $260K

Postuler dès maintenant

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lead machine learning engineer emplois - canada

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Lead, Data Engineer

President, Business Unit Leader

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : lead machine learning engineer (canada)

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