Member of Technical Staff, Cohere

Post-training, Data Infrastructure

$175-380k

Actual salary range is dependent on location. Canada - Toronto (GTA), Montreal Base Salary CA$295K – CA$535K. Offers Equity

Mid and Senior level

New York

San Francisco Bay Area

Toronto

Enterprise-grade AI solutions for real-world business problems

Be an early applicant

Enterprise-grade AI solutions for real-world business problems

501-1000 employees

B2BArtificial IntelligenceMachine LearningSaaS

Be an early applicant

$175-380k

Actual salary range is dependent on location. Canada - Toronto (GTA), Montreal Base Salary CA$295K – CA$535K. Offers Equity

Mid and Senior level

New York

San Francisco Bay Area

Toronto

501-1000 employees

B2BArtificial IntelligenceMachine LearningSaaS

Company mission

To empower businesses to scale innovation, boost productivity, and drive progress that reaches everyone.

Job

Company

Role

Who you are

Strong software engineering skills
Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training
Track record of running distributed data processing and model inference at scale
Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour
Excellent communication skills
This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere

What the job involves

As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data
You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models
Build and maintain data pipelines for SFT, preference, and RL post-training data
Own dataset quality, versioning, and reproducibility
Turn research data recipes into production-grade, reusable components
Scale model inference for data generation and model-based grading
Design data formats and schemas that keep post-training datasets consistent and efficient to train on
Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models

Our take

Many businesses are now faced with the challenge of adopting advanced AI safely and securely. While AI tools like ChatGPT are making headlines, companies (especially those in regulated industries such as banking, telecoms, or government services) worry about privacy, compliance, and control over their sensitive data. Cohere addresses these concerns by offering AI solutions that can be trained on a company's internal data and, importantly, run on their own infrastructure rather than relying on external cloud providers. And in a world where data breaches and regulatory scrutiny are constant threats, this focus on trust and security is key.

In a competitive landscape dominated by giants like OpenAI, Google, and Elon Musk's xAI, Cohere is setting itself apart by targeting businesses exclusively. Its approach has earned it contracts with some big names, like Royal Bank of Canada, Fujitsu, LG, Oracle, and Dell. By focusing on reliability and enterprise adoption rather than viral consumer appeal, Cohere has carved out a strong niche for itself.

This isn't going unnoticed either, as the company recently raised $500M, boosting its valuation to $6.8B, and brought on board top talent from Meta and Uber to strengthen its leadership team. Alongside this, it's doubled its annual recurring revenue to $100M in 2025 and is aiming to hit $200M by year-end. With its North platform for AI agents and a lean cost structure compared with larger rivals, Cohere is very much ready for more growth.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

192% employee growth in 12 months

Glassdoor (3)

Company

Funding (last 2 of 8 rounds)

Apr 2026

$600m

SERIES E

Sep 2025

$100m

LATE VC

Total funding: $2.1bn

Company benefits

Six weeks’ paid vacation
Equity / stock options
RRSP, 401(k), and Pension Scheme contributions
Coverage for 100% of your insurance premiums across health, dental, vision, and travel
Additional coverage for accessing mental health providers/services
Six months of fully paid parental leave, including adoption and surrogacy
Financial support for egg freezing and IVF in Canada and the UK
A monthly fitness and wellness allowance
Globally dispersed company that supports a remote work culture
A $2,000 annual education benefit for professional development
A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
A monthly arts and culture allowance
A monthly quality time allowance

Company HQ

Grange Park, Toronto, ON

Leadership

Aidan Gomez

(Co-Founder & CEO)

Aidan received a PhD in Computer Science from the University of Oxford in 2024 and has served as Cohere's CEO since co-founding the company in 2019.

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