Jobs in Canada

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Added 1 month ago
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…ownership - ensuring every solution meets the highest standards for quality, security, and production…
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Lead Building Services Design Engineer
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Remote Call Center Representative
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Remote Inbound Customer Service Representative
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Principal Prompt Engineer
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QA Engineer
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…and automated product tests and create and manage cloud-based quality assurance labs utilizing the latest technologies and best practices. If you are eager to work with new technologies to…
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Cohere

Member of Technical Staff, Agent Code

Toronto, ON, Canada

$295,000 to $535,000 CAD / year

Apply on jobs.ashbyhq.com About employer

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Job details

Pay: $295,000 to $535,000 CAD / year
Posting language: English
Posted: Sep 16, 2025

Original job description

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Role overview:

Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight.

This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly - everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work.

Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.

Key responsibilities:

Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems.
Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms
Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users
Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs.

Qualifications:

A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development
Hands-on experience with frontier LLMs and their applications in code generation or automation.
Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks.
Experience with distributed systems, cloud infrastructure, and scalable architectures.
A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems.

Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.

Full-Time Employees at Cohere enjoy these Perks:

A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Full health and dental benefits, including a separate budget for mental health.
RRSP matching, 401K, Pension Scheme.
100% Parental Leave top-up for up to 6 months, for either parent.
Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.

6 weeks of paid vacation (30 working days!)
Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:

Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Member of Technical Staff at Cohere will research and build code LLMs and agent systems, design training and inference strategies, and create benchmarks for enterprise users. The role also runs large experiments on compute infrastructure.

Requirements

Cohere needs candidates with a PhD in computer science, machine learning or a related field, with top-venue publications, deep code LLM and agent expertise, and strong Python and PyTorch or TensorFlow skills. Experience with distributed systems and cloud infrastructure is also required.

Skills

Python
PyTorch
TensorFlow
Code LLMs
LLM agents
Reinforcement learning
Supervised fine-tuning
Benchmark design
Distributed systems
Cloud infrastructure
Scalable architectures
Machine learning research
Large language models
Software engineering
Experiment design

Benefits

Lunch stipend
Health and dental benefits
RRSP matching and pension
Parental leave top-up
Annual enrichment benefits
Education and learning stipend
Paid vacation
Home office stipend
Co-working benefit

Keywords

code LLM
LLM agents
agent systems
code generation
reinforcement learning
SFT
PyTorch
TensorFlow
Python
distributed systems
cloud infrastructure
benchmarks
machine learning
AI research
foundation models
machine learning engineer
AI engineer
research scientist

Seniority

senior

Department

software_development

Perks

generous_pto
parental_leave
retirement_plan
wellness
meals
remote_allowance

Tools

PyTorch
TensorFlow
Python

Languages

English

Fields of study

Computer Science
Machine Learning

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