채용
Benefits & Perks
•Healthcare
•Mental Health
•Parental Leave
•Free Meals
•Learning Budget
•Remote Work
•Flexible Hours
•Healthcare
•Mental Health
•Parental Leave
•Meals
•Learning
•Remote Work
•Flexible Hours
Required Skills
Python
Software engineering
Machine learning
LLM training
Distributed systems
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
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. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia and the government. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
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As a Member of Technical Staff
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Sovereign AI, you will:
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Design, build and scale agentic AI systems for serving mission critical use cases.
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Research, implement, and experiment with ideas on our supercompute and data infrastructure.
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Learn from and work with the best researchers in the field.
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Execute across the full AI stack and ship products to serve public interest.
You may be a good fit if you have:
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Canadian citizenship and eligibility for security clearance (required for this role).
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Extremely strong software engineering skills.
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Proficiency in Python and related ML frameworks.
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Experience training, evaluating, and using (as an end-user) LLMs.
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Experience using large-scale distributed (GPU) LLM training strategies.
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Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
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About Cohere

Cohere
Series CCohere Inc. is an American-Canada-based international technology company focused on artificial intelligence. Cohere specializes in large language models and AI products for regulated industries, particularly the finance, healthcare, manufacturing, and energy fields, as well as the public sector.
201-500
Employees
Canada
Headquarters
$2.2B
Valuation
Reviews
3.8
45 reviews
Work Life Balance
3.6
Compensation
4.2
Culture
4.0
Career
3.8
Management
3.5
78%
Recommend to a Friend
Pros
Supportive team and management
Competitive compensation and benefits
Good work-life balance and flexible environment
Cons
Room for improvement in processes
Career progression could be clearer
Some organizational bureaucracy
Salary Ranges
0 data points
L2
L3
L4
L5
L6
Senior/L5
L2 · Solution Architect L2
0 reports
$71,230
total / year
Base
$28,492
Stock
$35,615
Bonus
$7,123
$49,861
$92,599
Interview Experience
8 interviews
Difficulty
3.1
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 0%
Negative 75%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Take-home Assessment
5
Hiring Manager Interview
6
Final Round Interview
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
News & Buzz
Cohere Health – Weekly Recap - TipRanks
Source: TipRanks
News
·
5w ago
Cohere joins Texas university's 6G research programme - Telecompaper
Source: Telecompaper
News
·
5w ago
Cohere Beauty Introduces the Fragrance Collective at Cosmoprof Miami 2026 - Morningstar
Source: Morningstar
News
·
5w ago
Hanwha expands industrial alliance in Canada for CPSP - Hanwha Group
Source: Hanwha Group
News
·
5w ago