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Added 7 mins ago
J
Insurance Technology Sales Executive
Jobgether
Canada
- $80,000 to $95,000 CAD / year
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Insurance Technology Sales Executive based in Canada.
Added 36 mins ago
EW
Assistant to Director of international sustainable development
Eightfold World Corp
AB · Edmonton, AB
- Full-time
…sustainability metrics and project outcomes, and support grant applications, proposals, and impact reports. The role also involves conducting research on best practices in sustainable…
Added 36 mins ago
C
Assistant Supervisor Track Maintenance-CA
CN
Grande Prairie, AB
- Full-time
Communicate track conditions and daily production information clearly to senior management to facilitate operational adjustments
Added 36 mins ago
HT
Senior Financial Analyst - Corporate Accounting
Husky Technologies
Bolton, ON
- Full-time
Title: Senior Financial Analyst - Corporate Accounting
Added 37 mins ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
This is a senior leadership role with global reach. You will act as a Staff Site Reliability Engineer (P5), providing deep technical expertise and cross-team architectural influence,…
Added 1 hour ago
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Clinical Research Coordinator - Nurse
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Assists Senior research staff with the ethics and regulatory tasks,
Added 1 hour ago
C
Senior Technical Lead/Responsable technique senior
CGI
Toronto, ON
- Full-time
The Senior Technical Lead leads and contributes to hands-on engineering delivery, turning business requirements into secure, resilient cloud services and AI-enabled solutions. The role owns…
Added 1 hour ago
KG
Senior Structural Engineer
KGS Group
Vancouver, BC
- Full-time
We are looking for an Senior Structural Engineer to join our Structural team in our Vancouver office. In this role you will manage projects and provide technical contributions to these…
Added 1 hour ago
C
Applied Machine Learning Research Scientist
Cerebras
Toronto, ON
- Full-time
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…
Added 1 hour ago
DIRECTOR, PRODUCT - INSURANCE
Green Shield Canada
Toronto, ON
Comfortable working with all levels of the organization – especially senior executives.
Added 1 hour ago
J
Manager, Process Department
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Manager, Process Department based in Canada.
Added 1 hour ago
J
Senior Quality Assurance Specialist - Consultant
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Quality Assurance Specialist - Consultant based in…
Added 1 hour ago
J
Director, Product Line Management
Jobgether
Canada
- $170,500 to $272,300 CAD / year
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Director, Product Line Management based in Canada.
Added 1 hour ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Applied AI Engineer based in Canada.
Added 1 hour ago
RC
Management Consulting Supervisor, Technology Performance
RSM Canada
Toronto, ON
- Full-time
Assess client infrastructure, cloud environments, enterprise architecture, applications, and broader technology ecosystems
Added 1 hour ago
S
Senior Product Manager, Echo MS
SCIEX
Vaughan, ON
- $130,000 to $150,000 CAD / year
- Full-time
The Senior Product Manager, Echo MS is responsible for owning the product strategy, roadmap, and lifecycle of the Echo MS+ platform (including configurations with ZenoTOF 7600, ZenoTOF…
Added 1 hour ago
R
Senior ServiceNow Developer (App Engine / HRSD)
Resonaite
Ottawa, ON
- Contract
Our client is seeking a contract-based Senior ServiceNow Developer to design, build and deliver ServiceNow solutions across HR Service Delivery, ITSM and employee workflows.
Added 1 hour ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
…trusted to power some of the world's most mission-critical applications. Now, as AI transforms how software is created and operated, the infrastructure behind it has to keep pace. Cockroach…
Added 2 hours ago
G
Director, Product - Insurance
GreenShield
Toronto, ON
- Full-time
Comfortable working with all levels of the organization – especially senior executives.
Added 2 hours ago
OE
Production Test Tech (2nd Shift)
OSI Electronics
Toronto, ON · Scarborough, ON
- $18 CAD / hour
- Full-time
It is the responsibility of every employee to report to their manager or a member of senior management any quality problems or defects in order for corrective action to be implemented and…
Added 2 hours ago
OE
General Labourer - Floater (2nd Shift)
OSI Electronics
Toronto, ON · Scarborough, ON
- $18 CAD / hour
- Full-time
It is the responsibility of every employee to report to their manager or a member of senior management any quality problems or defects in order for corrective action to be implemented and…
Added 2 hours ago
OE
General Labourer - Floater
OSI Electronics
Toronto, ON · Scarborough, ON
- $18 CAD / hour
- Full-time
It is the responsibility of every employee to report to their manager or a member of senior management any quality problems or defects in order for corrective action to be implemented and…
Added 2 hours ago
J
Manager, Process Department
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Manager, Process Department based in Canada.
Added 2 hours ago
N
Talent Partner (6-month Contract)
Nelson
Toronto, ON
- Temporary
Reporting to the Senior Talent Partner, the Talent Partner will manage full-cycle recruitment, focusing on technology, product, digital, publishing, and content roles that support Nelson's…
Added 2 hours ago
HT
Operations Support Specialist
Hirematic Talent Solutions
Toronto, ON
- $40 to $45 CAD / hour
- Full-time
Systems Administrator / Operations Support Specialist Senior

Cerebras

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 17, 2026
Posting language: English
Posted: Nov 6, 2026

Original 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.

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More about this job

Responsibilities

Apply post-training methods such as RLVR, RLHF, and GRPO, and build evaluation and data pipelines to improve LLM performance. Develop and scale training and inference workflows, debug issues across the ML stack, and collaborate with researchers to implement efficient, reliable systems.

Requirements

A bachelor’s or master’s degree in computer science, engineering, or a related field and at least four years of machine learning systems experience are required, along with strong Python skills, PyTorch experience, and solid ML fundamentals. Candidates should understand transformer architectures and be able to interpret modern ML research; experience with LLMs, reinforcement learning, distributed training, large datasets, or ML systems optimization is preferred.

Skills

Python
PyTorch
Machine Learning
Large Language Models
Transformer Architectures
Reinforcement Learning
RLHF
RLVR
GRPO
Distributed Training
FSDP
Megatron
Model Pretraining
Fine-Tuning
Model Evaluation
Data Pipelines

Visa sponsorship

Not detected in the job text

Keywords

Cerebras Systems
Artificial Intelligence
Machine Learning
Python
PyTorch
Large Language Models
Transformers
Reinforcement Learning
RLVR
RLHF
GRPO
Pretraining
Fine-Tuning
Alignment
Model Evaluation
Distributed Training
FSDP
Megatron
Data Pipelines
Synthetic Data
Large-Scale Datasets
Training Optimization
Inference Optimization
Mixed Precision
Model Quality
ML Infrastructure
Semiconductor Manufacturing

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