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Added 2 months ago
AI Application Security Architect
ACV
Toronto, ON
Own the security architecture for AI-assisted engineering: coding assistants, MCP servers, and autonomous agents, with guardrails that preserve developer velocity across an API-first…
Added 3 months ago
B
Analyst, Data Science & AI developper
Bombardier
Dorval, QC
- Full-time
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
Added 3 months ago
ES
Machine Learning Engineer - Express Scripts Canada
Express Scripts Pharmacy Benefit Services
Mississauga, ON
- Full-time
The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll…
Added 2 months ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
- Depth in AI and backend engineering: strong Python for services and ML pipelines, working fluency with cloud infrastructure and CI/CD, and a working understanding of frontend development…
Added 2 months ago
C
Member of Technical Staff, Agentic Environments
Cohere
Remote, Canada
- Full-time
- Remote
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!
Added 3 months ago
W
Software Engineer III - Visual AI Technology
Wayfair
Toronto, ON
- $192,047 to $211,914 CAD / year
- Full-time
Strong Python skills (experience with FastAPI or Flask is a bonus) and a solid understanding of cloud platforms (GCP/AWS/Azure) for compute-heavy workloads.
Added 3 months ago
PI
Java Lead Engineer / Architect - Agentic AI
Princeton IT Services, Inc
Toronto, ON
- Full-time
…develop production-grade solutions, and collaborate closely with engineering, data science, and product teams to deliver scalable, high-performance…
Added 3 months ago
A
DFT Design Engineer
AMD
Markham, ON
- $128,000 to $192,000 USD / year
- Full-time
Experience with Perl/Python/Shell scripting, C++, SQL
Added 2 months ago
CP
Databricks Architect | Canada
Cuesta Partners
Remote, Canada
- $180,000 to $225,000 USD / year
- Full-time
- Remote
…is a hands-on leadership role where you will work directly with clients - including C-level stakeholders - to design, build, and deploy production-grade Databricks…
Added 2 months ago
A
Senior Site Reliability Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are seeking a highly motivated and experienced Senior Site Reliability Developer (SRE) to manage critical cloud infrastructure and site reliability operations for the Autodesk Platform…
Added 2 months ago
RB
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
- Full-time
…opportunity to work and lead complex projects, collaborating with cross-functional teams to design, develop, and deploy production-grade applications that integrate AI capabilities,…
Added 1 month ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 1 month ago
GS
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
Hands-on experience with JavaScript or TypeScript on the front end; experience with Python is a plus for tooling, automation, or data-related tasks.
Added 2 months ago
TD
Senior Manager, Solutions Architecture
TELUS Digital
Remote, Canada
- $224,000 to $254,000 CAD / year
- Full-time
- Remote
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital…
Added 3 months ago
Q-
Montréal [Hybrid] AI-Native Python Developer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
- Full-time
-Experienced Python developer, expert in AI/ML and vibe coding, able to rapidly build innovative solutions with AI assistance while ensuring code quality, robustness and maintainability.
Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
…expertise in applied machine learning, statistical modeling, Python, SQL, and cloud-based data science…
Added 2 months ago
TT
AI/ML Engineer
TC Transcontinental
Mississauga, ON
- Full-time
…across the retail, education, book and information industries. With agility, creativity and boldness, we design and deliver innovative, high-value products and…
Added 2 months ago
R
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
- Full-time
…opportunity to work and lead complex projects, collaborating with cross-functional teams to design, develop, and deploy production-grade applications that integrate AI capabilities,…
Added 3 months ago
T(
Principal AI/ML Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $240,000 to $320,000 USD / year
- Full-time
- Remote
…Ventures, Lerer Hippeau, Cumberland Investments (and more), working with major brokerages and financial data…
Added 3 months ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data…
Added 3 months ago
A
AI and Automation Software Engineer
AMD
Markham, ON
- $187,200 to $280,800 USD / year
- Full-time
Proficiency with one or more of the following languages: Python, C, C++ programming, JavaScript.
Added 4 months ago
A
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
- $90,000 to $110,000 CAD / year
- Full-time
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems.
Added 2 months ago
Solutions Architect, AI Systems
Viral Nation Inc.
Canada
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and…
Added 4 months ago
SI
Staff R&D Engineer-17397
Synopsys Inc
Vancouver, BC
- Full-time
Experience with Python for scripting and automation

Cohere

Member of Technical Staff, Agentic Environments

Remote, Canada

Remote

For candidates in the US, the Compensation Range is: $175,000 - $380,000 · Full-time

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Job details

Pay: For candidates in the US, the Compensation Range is: $175,000 - $380,000
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Aug 13, 2026

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:
At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations.

This position is hands-on and engineering-driven. You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. We blend engineering and research seamlessly. Everyone contributes to both, depending on organizational needs. We provide access to world class compute resources, data, and talent to ensure you can do your best work. This role is perfect for you if you:

Have a deep passion for quality work.
Enjoy tuning and optimising large LLM models.
Comfortable working with people with different levels of software engineering skills, from beginner to more advanced.
Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.
Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.

Key responsibilities:

Design and write high-performing and scalable software for training models.
Develop new tools to support and accelerate research and LLM training.
Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.).
Research, implement, and experiment with ideas on our cluster and data infrastructure.
Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!

Qualifications:

Extremely strong software engineering skills.
Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.
Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.
Experience using and debugging large-scale distributed training strategies (memory/speed profiling).
Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).
Experience in ML and LLM academic research.

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.

Compensation:
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.

For candidates in the US, the Compensation Range is: $175,000 - $380,000
For candidates in Canada, the Compensation Range is: CAD250,000 - CAD535,000

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.

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More about this job

Responsibilities

Design and write high-performing, scalable software for training large-scale AI models. Collaborate with engineering and scientific teams to develop tools that accelerate research and improve production system efficiency.

Requirements

Requires extremely strong software engineering skills and proficiency in Python, JAX, Pytorch, or MLIR. Candidates must have experience with distributed training infrastructures like Kubernetes and Ray, along with a background in LLM academic research.

Skills

Software engineering
Python
JAX
Pytorch
XLA
MLIR
Distributed training
Kubernetes
Ray
LLM research
Test-driven development
Machine learning
System optimization
Scalable software design

Benefits

Weekly lunch stipend
Health insurance
Dental insurance
Mental health budget
RRSP matching
401k
Pension scheme
Parental leave
Arts and culture benefit
Fitness and wellness benefit
Workspace improvement credit
Education and learning stipend
Paid vacation
Co-working benefit
Home office stipend

Remote locations

Toronto, Canada
London, United Kingdom
New York, United States
San Francisco, United States
Montreal, Canada
Paris, France
Berlin, Germany
Seoul, South Korea

Remote locations (standardized)

Berlin, Germany
London, England, United Kingdom
Montreal, Quebec, Canada
New York, New York, United States
Paris, Ile-de-France, France
San Francisco, California, United States
Seoul, South Korea
Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
LLM
Machine Learning
Distributed Training
Python
JAX
Pytorch
XLA
MLIR
Kubernetes
Ray
Software Engineering
Test-driven Development
Scalability
Infrastructure
Modeling
Agentic Environments
Foundation Models
Production Systems
Data Infrastructure

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