20 meilleures offres (lead machine learning engineer, calgary ab) (à pourvoir)

Lead Machine Learning Engineer
Serve Robotics —Calgary, AB
- De 225 000 $ à 260 000 $ par an
- Temps plein
- Télétravail
- Doctorat
- Informatique
- Ingénierie
Lead Cloud Reliability Engineer
BigGeo —Calgary, AB
- Temps plein
- Informatique
- Ingénierie
- Baccalauréat
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- Temps plein
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Royal Bank of Canada —Calgary, AB
- Temps plein
- Informatique
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Transformation Risk and Advisory, Senior Manager, JIRA lead
Pwc Canada —Calgary, AB
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- Temps plein
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DevOps - AI Practice Lead
F12.net —Calgary, AB
- Temps plein
- DevOps
- Assurance Invalidité
- Assurance Dentaire
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il y a 12 jours
Lead QA Engineer (Hybrid Work Model)
Quorum Software —Calgary, AB
- Temps plein
- Travail hybride
- Azure
- DevOps
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4 h
Oracle Data Reporting Lead
Accenture —Calgary, AB
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- Temps plein
- Travail hybride
- Azure
- Oracle
- Systèmes PGI
Lead QA Engineer (Hybrid Work Model)
Quorum Business Solutions —Calgary, AB
- Temps plein
- Travail hybride
- Azure
- DevOps
- Anglais
7 h
Lead QA Analyst
Intercontinental Exchange Holdings, Inc. —Calgary, AB
- Temps plein
- Oracle
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Oracle Technical Lead
Pwc Canada —Calgary, AB
- De 112 400 $ à 162 400 $ par an
- Temps plein
- Travail hybride
- Oracle
- Systèmes PGI
- SQL
Technology Lead - Azure and Databricks Admin
Infosys —Calgary, AB
- Azure
- DevOps
- SQL
Postuler rapidement
il y a 13 jours
Lead Incident Security Responder
Black Duck Software, Inc. —Calgary, AB
- De 100 000 $ à 150 000 $ par an
- Télétravail
- Azure
- Informatique
- AWS
il y a 4 jours
Lead Software Developer
ABC Fitness —Calgary, AB
- De 120 000 $ à 128 000 $ par an
- Temps plein
- Informatique
- DevOps
- SQL
- Assurance Dentaire
- Congés payés
Postuler rapidement
Java Software Development Lead
Halliburton —Calgary, AB
- Temps plein
- Informatique
- Azure
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Pipeline Asset Management & Operations Readiness Lead
Worley —Calgary, AB
- Intelligence artificielle
il y a 8 jours
Senior Consultant - Quality Engineering Test Lead
KPMG —Calgary, AB
- Temps plein
- Microsoft Excel
- Azure
- DevOps
21 h
Software Development Lead- Platform
Krux Analytics —Calgary, AB
- Temps plein
- Travail hybride
- Azure
- Expérience en gestion
- Informatique
Postuler rapidement
il y a 12 jours
AI Tech Lead - Pipeline
Adastra Corporation —Calgary, AB
- Temps plein
- Capacités de présentation
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il y a 4 jours
Geoscience / Geotechnical Lead
Worley —Calgary, AB
- Travail hybride
- Ingénierie
- Intelligence artificielle
- Génie civil
- Assurance Dentaire
- Congés payés

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Lead Machine Learning Engineer

Serve Robotics -
Calgary, AB

Postuler dès maintenant

Détails du poste

Temps plein
De 225 000 $ à 260 000 $ par an

Profil recherché

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

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