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Added 4 mins ago
FT
Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.
Added 4 mins ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.
Added 4 mins ago
FT
Full Stack LLM Engineer
FDE Times
Toronto, ON
- Full-time
…applications, unlocking real-time iteration and increasing intelligence via additional agentic…
Added 33 mins ago
FT
Applied Machine Learning Research Scientist
FDE Times
Toronto, ON
- Full-time
…applications, unlocking real-time iteration and increasing intelligence via additional agentic…
Added 33 mins ago
Estimator
State Window Corporation
Vaughan, ON
Communicate with the Bid Coordinator and Business Development Team to gather any necessary information;
Added 2 hours ago
WC
(CAN) Customer Service Manager
Walmart Canada
Kelowna, BC
- $15 CAD / hour
- Full-time
Be open to working a variety of shifts, including evenings, weekends, and holidays, based on business needs. Your adaptability helps ensure the store runs smoothly and customers receive…
Added 2 hours ago
SM
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Stevenson Memorial Hospital
Alliston, ON
- Full-time
College Diploma in Business and/or Logistics and Supply Chain Management preferred
Added 3 hours ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 3 hours ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
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Added 3 hours ago
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Bolton, ON
- Full-time
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Added 3 hours ago
HT
Senior Financial Analyst - Corporate Accounting
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 3 hours ago
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Fashion Associate (Part time) - CF Toronto Eaton Centre
Reitmans (Canada) Ltée/Ltd
Toronto, ON
- Part-time
The use of Artificial Intelligence may be used for candidate screening purposes.
Added 3 hours ago
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PT - Meat Clerk - Belmont Market
Sobeys
Langford, BC
- Full-time
What began as a meat delivery business in Stellarton, Nova Scotia has grown to over 128,000 teammates at corporate-owned and franchised store locations. Sobeys Capital Incorporated and its…
Added 3 hours ago
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Produce - Supervisor Produce TF Belmont
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Umbrella Family and Child Centres of Hamilton
Hamilton, ON
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Strong business and operational acumen, including experience with budgeting, problem-solving, decision-making, and organizational planning.
Added 4 hours ago
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Project Accountant
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Toronto, ON
- Full-time
…what breaks, and work with our broader accounting team and business team to correct it and create a seamless…
Added 4 hours ago
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ON · Regional Municipality of York, ON
- Full-time
We are looking for a BI Developer who can analyze large amounts of structured and unstructured data to find meaningful insights that can help improve our customer’s decision-making process.
Added 4 hours ago
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SENIOR BUSINESS ADVISOR, OPERATIONS - Montréal, North Shore and Laval
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Montreal, QC
- Full-time
As a Senior Business Advisor, Operations, you will help small and medium-sized businesses improve their operational performance and transform their organizations. You will lead both…
Added 4 hours ago
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Human Resources Business Partner (Manufacturing)
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As a Talent and Development (HR) Business Partner, your primary responsibility is to support our production team in a fast-paced manufacturing environment. You provide support and…
Added 4 hours ago
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Chief Compliance Officer
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Toronto, ON
- $180,000 to $200,000 CAD / year
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Added 4 hours ago
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Operations Consultant - Full Time
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Added 5 hours ago
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Through demonstrated proficiency in quality improvement and business methodologies, education, innovation, and role modeling, the consultant will assist programs to:
Added 5 hours ago
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INTERN
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- $23 to $28 CAD / hour
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As a Sales Operations & Marketing Intern, you will gain hands-on experience supporting the Canadian Institutional business and working across Sales, Marketing and other internal teams. You…
Added 6 hours ago
SM
RQ11858 – Oracle Cloud Integration Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
OTBI (Oracle Transactional Business Intelligence).
Added 6 hours ago
SM
RQ11858 – Oracle Cloud Integration Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
OTBI (Oracle Transactional Business Intelligence).

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.

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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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