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Added 1 hour ago
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Senior Director, Raw Materials Innovation - Materials & Technology
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- Full-time
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Senior Data Scientist
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Data Scientist
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We are seeking an experienced Senior Data Scientist to support the development and adoption of advanced analytics, machine learning, and Generative AI solutions. The successful candidate…
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Machine Learning Engineer
Mission.dev
Canada
- Full-time
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Machine Learning Engineer, AI Processors (Sr to Staff)
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Member of Technical Staff – AI Evaluation
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Added 15 hours ago
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Data Scientist, ONCAP/OpCo - 12 month contract
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Toronto, ON
- $45 to $60 CAD / hour
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Quantum Hardware Scientist
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Quantum Scientist - Compilation
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Quantum Scientist - Finance
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Senior Scientist - Quantum Sources
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Senior Scientist - SNSPDs
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Quantum Architecture Scientist
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Quantum Architecture Scientist - Decoding
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Quantum Architecture Scientist - Logical Architecture - Gates
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Sr. Quantum Architecture Scientist
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Toronto, ON
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Senior Data Scientist – Decision Intelligence
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Toronto, ON
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Added 18 hours ago
AS
Sr. Applied Scientist - AWS Catalog, AWS Catalog
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Vancouver, BC
- Full-time
This is a chance to work at the front of data security and governance with Amazon scale impact on customers. As a Sr. Applied Scientist III, you bring your education, experience, and…
Added 21 hours ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Added 1 day ago
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Technical Consultant II, Environmental Scientist
Worley
Edmonton, AB · Calgary, AB
- Full-time
Intermediate Environmental Scientist, Engineer in Training, or Technologist
Added 1 day ago
TF
Scientist I – Analytical Operations
Thermo Fisher Scientific
Mississauga, ON
- Full-time
Added 1 day ago
SU
Beamline Scientist Position at the Coherent Diffraction Endstation for Single Molecules and Particles (CDS), SHINE, ShanghaiTech University
ShanghaiTech University
SK
- Full-time

Mission.dev

Machine Learning Engineer

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 12, 2026

Original job description

Our company description

Mission is a platform for hiring, vetting and managing software development talents. It enables our clients to connect with the world’s best talent to build mission-critical software products.

About the Company

This technology company operates a large-scale financial services platform originally established to serve international markets. The organization is expanding its ecosystem beyond its core fintech offerings to include savings, investments, and AI-native productivity tools. The company leverages artificial intelligence to build proactive applications designed to simplify daily digital tasks and workflows for a global user base, focusing on high reliability and autonomous task completion.

About the Role

As the Technical Lead for Machine Learning, you will oversee the execution layer of the company’s AI intelligence, transforming research into scalable, production-grade systems. This hands-on leadership role bridges the gap between model development and product implementation. You will own the entire model lifecycle, including data curation, training, evaluation, and deployment. Your focus will be on building reliable, high-performance systems that power proactive applications, ensuring long-running workflows and persistent context function seamlessly for millions of users worldwide.

What You'll Do

Lead the end-to-end development of machine learning systems, spanning data acquisition, training, and deployment.
Architect high-performance inference systems to optimize latency, GPU utilization, and cost-efficiency.
Design robust evaluation frameworks to measure model capability, safety, and real-world performance.
Build scalable pipelines for processing high-quality synthetic and real-world training data.
Establish production infrastructure for monitoring and continuously improving large-scale models.
Partner with research and engineering teams to translate model capabilities into functional product features.
Manage technical trade-offs to ensure rapid iteration and system reliability.

What You Bring

Proven experience building and shipping production-grade machine learning systems at scale.
Deep expertise in modern large-model training, fine-tuning, and inference methodologies.
Strong software engineering and systems design fundamentals.
Technical proficiency with GPU-based workloads and infrastructure.
Ability to navigate ambiguous technical problems and lead experimentation initiatives.

Nice to Haves

Proficiency with Python, PyTorch, or JAX.
Experience managing large model failure modes in live environments.
Experience writing production-grade code for high-reliability systems.

Compensation & Benefits

Benefits: Health and dental coverage, life insurance, retirement savings matching (US), and equity.

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More about this job

Responsibilities

Lead the full machine learning lifecycle, from data acquisition and model training through evaluation and production deployment. Architect efficient inference systems and scalable data and monitoring infrastructure, while partnering with research and engineering teams to deliver reliable AI product features.

Requirements

Candidates should have proven experience building and shipping production-grade machine learning systems at scale, with deep expertise in large-model training, fine-tuning, and inference. Strong software engineering and systems design skills, GPU infrastructure proficiency, and the ability to lead experimentation in ambiguous technical settings are required; Python, PyTorch, or JAX experience is a plus.

Skills

Machine Learning
Large-Model Training
Model Fine-Tuning
Inference Systems
GPU Infrastructure
Python
PyTorch
JAX
Data Curation
Synthetic Data Pipelines
Model Evaluation
Production Deployment
Systems Design
Performance Optimization
Reliability Engineering
Technical Leadership

Benefits

Health Coverage
Dental Coverage
Life Insurance
Retirement Savings Matching
Equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Large-Scale Models
Model Training
Fine-Tuning
Inference
GPU Utilization
Latency Optimization
Cost Efficiency
Data Acquisition
Data Curation
Synthetic Training Data
Real-World Training Data
Evaluation Frameworks
Model Safety
Production Deployment
Monitoring
Persistent Context
Long-Running Workflows
Python
PyTorch
JAX
Software Engineering
Systems Design
Fintech
High-Reliability Systems
Autonomous Applications

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