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Added 11 mins ago
MC
Senior Salesforce Administrator
Make-A-Wish Canada
Toronto, ON
- Full-time
To apply, please navigate to: Senior Salesforce Administrator (Canada) | Dayforce Jobs
Added 11 mins ago
AU
Mobile Security Professional
Allied Universal
Vancouver, BC
- $21 CAD / hour
- Part-time
…career as Security Professionals and today hold positions on our senior leadership team. We offer medical, dental and vision coverage, life insurance, employee assistance programs, company…
Added 11 mins ago
AU
Security Guard
Allied Universal
Toronto, ON
- $19 CAD / hour
- Full-time
…career as Security Professionals and today hold positions on our senior leadership team. We offer medical, dental and vision coverage, life insurance, employee assistance programs, company…
Added 11 mins ago
AU
Bilingual security guard-Patient watch
Allied Universal
Ottawa, ON
- $18 CAD / hour
- Part-time
…career as Security Professionals and today hold positions on our senior leadership team. We offer medical, dental and vision coverage, life insurance, employee assistance programs, company…
Added 11 mins ago
AA
Expert en ingénierie d'intégration des moteurs / Engine Integration Engineering Expert
Airbus Aircraft
Montreal, QC
- Full-time
Added 11 mins ago
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Account Manager
Allied Universal
AB · Edmonton, AB
- $24 CAD / hour
- Full-time
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Added 11 mins ago
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Security Guard
Allied Universal
AB · Edmonton, AB
- $19 CAD / hour
- Part-time
…career as Security Professionals and today hold positions on our senior leadership team. We offer medical, dental and vision coverage, life insurance, employee assistance programs, company…
Added 11 mins ago
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Saskatoon, SK
- Full-time
…administrative direction from the Manager, Social Worker- MSW-Senior and/or…
Added 11 mins ago
RAS Senior Associate
Reckitt
Mississauga, ON
The Senior Regulatory Associate supports and leads regulatory activities across Reckitt’s Canadian portfolio, as required, developing practical regulatory strategies that support business…
Added 11 mins ago
HI
Commercial Lines Account Associate, Professional Liability
HUB International
Markham, ON
- Full-time
…accounts in Markham. This role involves working closely with Senior Team members of the Professional Liabilities team and requires someone who is responsive, has strong time management…
Added 11 mins ago
Registered Psychiatric Nurse (N2) - 3rd Floor Special Care Unit
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RN - Two years of recent, related mental health experience or an RN who has recently completed a senior practicum in mental health or an RN with a Canadian Nursing Association certificate…
Added 27 mins ago
AU
Security Guard - High Rise
Allied Universal
Winnipeg, MB
- $17 CAD / hour
- Full-time
…career as Security Professionals and today hold positions on our senior leadership team. We offer medical, dental and vision coverage, life insurance, employee assistance programs, company…
Added 27 mins ago
WS
Indigenous Cultural Safety, Diversity, Equity and Inclusion Advisor
Workers' Safety & Compensation Commission of the NWT & Nunavut
BC · British Columbia, Canada
- $106,158 to $126,809 CAD / year
- Full-time
Recommending improvements, developing action plans and measuring progress with units and senior leadership
Added 27 mins ago
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DIRECTOR, ENTREPRENEURSHIP & SILICON VALLEY
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Added 27 mins ago
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Indigenous Cultural Safety, Diversity, Equity and Inclusion Advisor
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ON · Ontario, Canada
- $106,158 to $126,809 CAD / year
- Full-time
Recommending improvements, developing action plans and measuring progress with units and senior leadership
Added 27 mins ago
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Toronto, ON
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Present findings and recommendations to senior technology and business leadership.
Added 27 mins ago
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Added 27 mins ago
Lead, Geospatial Platform Operations
City of Edmonton
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…performing teams? The Lead, Geospatial Platform Operations is a senior technical leadership role within the Enterprise Geospatial Technology group. In this role, you will be responsible for…
Added 27 mins ago
S
Senior Electrification Manager - Construction
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- Full-time
The Senior Programme Manager – Electrification is responsible for the overall leadership, planning and successful delivery of complex railway electrification programmes, including Overhead…
Added 41 mins ago
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Marketing & Communications Director
Decor Cabinets Ltd
Morden, MB
- Full-time
We're looking for a Marketing & Communications Director to join our Senior Leadership Team and help shape how we connect with our employees, dealers, designers, and the communities we serve.
Added 41 mins ago
J
Insurance Technology Sales Executive
Jobgether
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- $80,000 to $95,000 CAD / year
- Full-time
…negotiations, and closing new business. You will collaborate with senior stakeholders and cross-functional teams to develop opportunities, refine sales strategies, and deliver compelling…
Added 41 mins ago
SC
Controller
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- Full-time
The Controller provides timely, accurate, and meaningful financial information to senior management. The role requires strong technical accounting expertise, effective leadership, and an…
Added 41 mins ago
C
Director, Distribution Strategy & Financial Management
CIBC
Toronto, ON
- Full-time
…CIBC’s banking centre and advisor channels. Reporting to the Senior Director, Distribution Strategy & Enablement, you’ll lead high-priority strategic and financial management work that…
Added 1 hour ago
RD
Technical Customer Success Manager
Redpanda Data
Canada
- Full-time
Communicate confidently with engineering teams, platform owners, and senior leadership
Added 1 hour ago
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Assistant to Director of international sustainable development
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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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