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Added 15 mins ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 45 mins ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Added 1 hour ago
FT
Applied Machine Learning Research Scientist
FDE Times
Toronto, ON
- Full-time
You will work closely with researchers and senior engineers to implement and improve workflows for LLM pretraining, fine-tuning, and reinforcement learning-based post-training. This…
Added 3 hours ago
S&
Senior Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
This is a senior engineering position that offers a variety of interesting and challenging opportunities in structural engineering and will provide an excellent opportunity to advance your…
Added 4 hours ago
BT
Senior Accountant - Cross Border Tax
Baker Tilly Canada
Vancouver, BC
- Full-time
We are looking for a Senior Accountant – Cross Border Tax to join our team - a role where your expertise will drive meaningful outcomes and your ambition will help shape what comes next.…
Added 5 hours ago
S&
Senior Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…outcomes for our clients. Depending on the role, employees may use data, automation, artificial intelligence, and other digital tools to support research, analysis, engineering and design…
Added 6 hours ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking an experienced Senior Product Manager – Enterprise AI to provide end-to-end product leadership for enterprise AI initiatives. The ideal candidate will have strong experience…
Added 6 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 6 hours ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 6 hours ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking an experienced Senior Product Manager – Enterprise AI to provide end-to-end product leadership for enterprise AI initiatives. The ideal candidate will have strong experience…
Added 6 hours ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 6 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 6 hours ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking an experienced Senior Product Manager – Enterprise AI to provide end-to-end product leadership for enterprise AI initiatives. The ideal candidate will have strong experience…
Added 6 hours ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 6 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 6 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 6 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 6 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 7 hours ago
M
Cloud Solution Architect - AI Apps
Microsoft
Calgary, AB · Vancouver, BC
- Full-time
…lead deep technical architecture discussions and engage with senior customer executives, enterprise architects, platform engineers and developers. You will collaborate with a variety of…
Added 8 hours ago
CL
General Manager - Off Campus
Campus Living Centres
Ottawa, ON
- Full-time
…with company and property objectives, as well as liaise with senior managers of…
Added 8 hours ago
S
Manager, Regional Business Management and Planning (English/Spanish) - International Banking
Scotiabank
Toronto, ON
- Full-time
Turn financial and commercial data into clear insights that support regional decision-making
Added 9 hours ago
KN
Remote Senior Amazon Operations Manager (Full-Time)
Kasha Nutrition
Remote, Canada
- Full-time
- Remote
…SKUs and monthly sales), one system you built (blur client data), and a video of 3 minutes or less on camera about the hardest Amazon problem you…
Added 9 hours ago
HH
Senior AI Automation & Platform Architect
Health Hue Digital
Remote, Canada
- Full-time
- Remote
…that adapt rather than sit still. If you think in logic gates, data schemas, and JSON payloads, this is your…
Added 13 hours ago
NB
Senior Advisor, Program Governance
National Bank of Canada
Montreal, QC
- Full-time
…involving business, financing, credit, operations, technology, data and transformation teams. You work closely with the Pillar 5 Program Manager and regularly interact with pillar leaders,…
Added 14 hours ago
B
Communications and Training Coordinator – Operational Excellence
BPA
Montreal, QC
- Full-time
…externally, and support teams through change, working closely with senior leadership and corporate…

FDE Times

Applied Machine Learning Research Scientist

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Nov 8, 2026

Original job description

Job Description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role

As an Applied Machine Learning Research Scientist at Cerebras, you will play a key role in turning modern machine learning techniques into scalable, high-performance systems. This role sits at the intersection of modeling and systems focused not on publishing new algorithms, but on understanding how they work and making them run effectively at scale. Your work will directly impact how large language models (LLMs) are trained, optimized, and deployed on one of the most advanced AI platforms in the world.

You will work closely with researchers and senior engineers to implement and improve workflows for LLM pretraining, fine-tuning, and reinforcement learning-based post-training. This includes building training pipelines, debugging complex system behaviors, improving model quality, and iterating on data and evaluation strategies. Your contributions will help translate cutting-edge ML ideas into reliable, production-ready systems that solve real-world problems.

This role is ideal for candidates who enjoy hands-on engineering, want to build deep intuition for ML systems, and are excited about working on LLMs and reinforcement learning in practice, not just in theory.

Responsibilities

Apply post-training techniques (e.g. RLVR, RLHF, GRPO etc.) techniques to improve model performance.
Build and maintain evaluation pipelines to measure model performance across tasks and domains.
Debug issues across the ML stack, including data pipelines, training jobs, model outputs and mixed or lower precision computation.
Collaborate with researchers to translate ML ideas into efficient, scalable implementation.
Design, implement, and scale ML pipelines across all stages of LLM development (pretraining, fine-tuning, alignment).
Work with large datasets, including dataset generation, filtering, and synthetic data approaches.
Optimize training and inference workflows for performance, efficiency, and reliability.
Contribute high-quality, maintainable code to shared ML infrastructure.

Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
4+ years of experience (including internships, research, or industry experience) working with machine learning systems; we are hiring multiple positions for various levels.
Strong programming skills in Python.
Experience with ML frameworks such as PyTorch.
Solid understanding of machine learning fundamentals.
Familiarity with deep learning architectures, particularly transformers.
Ability to read and understand modern ML papers and implement key ideas.

Preferred Skills & Qualifications

Experience working with large language models (training, fine-tuning, and evaluation).
Familiarity with reinforcement learning concepts.
Experience with distributed training frameworks (e.g., FSDP, Megatron).
Experience working with large-scale datasets and data pipelines.
Experience debugging or optimizing ML systems for performance.
Contributions to meaningful codebases, projects, or open-source systems

Why Join Cerebras

About

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Apply About employer

More about this job

Responsibilities

Implement and scale machine learning workflows for LLM pretraining, fine-tuning, alignment, and reinforcement learning-based post-training. Build evaluation and data pipelines, debug issues across the ML stack, and optimize training and inference systems for performance, efficiency, and reliability.

Requirements

Requires a bachelor’s or master’s degree in computer science, engineering, or a related field, at least four years of machine learning systems experience, strong Python skills, and experience with frameworks such as PyTorch. Candidates should understand machine learning fundamentals and transformers, and be able to interpret research papers and implement their ideas; experience with LLMs, reinforcement learning, distributed training, and large-scale data is preferred.

Skills

Python
PyTorch
Machine Learning
Large Language Models
Transformer Architectures
Reinforcement Learning
RLHF
RLVR
GRPO
Distributed Training
FSDP
Megatron
Model Evaluation
Data Pipelines
Mixed-Precision Computing
ML Systems Optimization

Visa sponsorship

Not detected in the job text

Keywords

Applied Machine Learning
Machine Learning Systems
Python
PyTorch
Large Language Models
Transformers
LLM Pretraining
Fine-Tuning
Model Alignment
Reinforcement Learning
RLHF
RLVR
GRPO
Distributed Training
FSDP
Megatron
Model Evaluation
Training Pipelines
Data Pipelines
Large-Scale Datasets
Synthetic Data
Mixed-Precision Computing
Model Optimization
Inference Optimization
Scalable ML Infrastructure
Toronto
Cerebras Systems

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