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Added 39 mins ago
RD
Technical Customer Success Manager
Redpanda Data
Canada
- Full-time
Communicate confidently with engineering teams, platform owners, and senior leadership
Added 40 mins ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
Join Guidewire's Product Development & Operations (PDO) organization as a cornerstone of our Site Reliability Engineering team. We are the architects of stability for the Guidewire Cloud…
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
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Applied Machine Learning Research Scientist
Cerebras
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 1 hour ago
DIRECTOR, PRODUCT - INSURANCE
Green Shield Canada
Toronto, ON
Develop the Insurance product roadmap that is consistent with the GreenShield’s overall strategies and maintain a vision for the future of the platform.
Added 1 hour ago
J
Director, Product Line Management
Jobgether
Canada
- $170,500 to $272,300 CAD / year
- Full-time
…a portfolio of advanced optical networking solutions. This senior leadership role focuses on translating customer needs and market opportunities into differentiated products that strengthen…
Added 1 hour ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
…mission-critical customer workflows. You will join a small, senior founding engineering team and help establish its technical standards, development practices, and evaluation discipline.…
Added 1 hour ago
D
AI Deployment Strategist
Didero
Toronto, ON
- Full-time
…the relationship, and you'll work closely with Product and Engineering to shape both our customers' success and the future of the…
Added 1 hour ago
D
Senior AI Deployment Strategist
Didero
Toronto, ON
- Full-time
…the relationship, and you'll work closely with Product and Engineering to shape both our customers' success and the future of the…
Added 1 hour ago
D
Forward Deployed Engineer
Didero
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
This is a hands-on engineering role. You will build backend services, integrations, APIs, data pipelines, and workflow automations. Our core platform uses Django and Python; we care more…
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
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
Srithar leads Platform Engineering at Cockroach Labs, overseeing the teams responsible for the infrastructure, tooling, and systems that keep the engineering organization running at scale.…
Added 1 hour ago
SC
Senior Linux and Cloud Administrator | Global Cloud Ops LLD | Pacemaker Operations | Toronto
SAP Careers
Toronto, ON
- $97,800 to $202,400 CAD / year
- Full-time
…issues as well as building automation and improvement of our platform operations to provide world-class cloud services for SAP Applications to enterprise customers from all over the globe.…
Added 2 hours ago
G
Director, Product - Insurance
GreenShield
Toronto, ON
- Full-time
Develop the Insurance product roadmap that is consistent with the GreenShield’s overall strategies and maintain a vision for the future of the platform.
Added 2 hours ago
AH
AI Product Engineer
Angel Host
Montreal, QC
- Full-time
You reduce the volume of work that reaches senior engineering by triaging, reproducing, and resolving issues independently
Added 2 hours ago
AH
AI Product Engineer IT - Montréal, Quebec (Hybrid)
Angel Host
Montreal, QC
- Full-time
You reduce the volume of work that reaches senior engineering by triaging, reproducing, and resolving issues independently
Added 2 hours ago
E
Specialist I, IT Enterprise GIS Technical Specialist
Enbridge
Calgary, AB · Edmonton, AB · Toronto, ON · North York
- Full-time
Provide senior technical leadership and act as an ArcGIS Enterprise platform subject-matter expert, independently resolving complex technical issues and providing architecture guidance,…
Added 3 hours ago
H
Senior Backend Engineer (Python/GCP)
Hays
Toronto, ON
- Contract
As a Senior Backend Engineer, you will be responsible for designing, building, and maintaining scalable backend services and APIs that support modern cloud-based applications. Working…
Added 3 hours ago
R
Founding Product & Solutions Lead
Rainharbor
Toronto, ON
- Full-time
…your recent work has been data pipelines, infrastructure or platform code with little direct client contact, this is not the right…
Added 3 hours ago
V
Vice President of Engineering
Vantage
Remote, Canada
- $200,000 CAD / year
- Full-time
- Remote
As Vantage's engineering organization grows, we're adding a second VP of Engineering to help lead it. Reporting to our CTO, you'll lead a group of engineering teams through their managers…
Added 4 hours ago
D
Senior Product Manager, Echo MS
Danaher
Concord, 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 5 hours ago
P
Senior Site Reliability Engineer
Punt
Canada
- Full-time
We’re seeking a Senior Site Reliability Engineer to join Production Engineering, the team that help advance our infrastructure, security, reliability, and platform maturity. This is a…
Added 5 hours ago
P
Frontend Software Engineer (Intermediate)
Punt
Canada
- Full-time
We are seeking an Intermediate Frontend Engineer to help build and scale the frontend for our online social gaming platform. This is a hands-on engineering role for someone with solid…
Added 5 hours ago
P
Backend Engineer (Intermediate)
Punt
Canada
- Full-time
…development, and operation of our next-generation social gaming platform. You'll work on concurrent systems, building APIs and backend services that power millions of players. This is a…
Added 5 hours ago
P
Senior Data Engineer (Lead)
Punt
Canada
- Full-time
7+ years of professional data engineering experience, including 2+ years in a technical lead or platform ownership role.

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.

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

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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