Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud. 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. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. •••••• We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul.

The Data

Infrastructure team at •••••• is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters.

Design, build, and operate the distributed storage system that feeds model training and evaluation. Work with researchers and training-infra teams on how •••• actually read and write data, and turn that into throughput, latency, and durability requirements Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends,



with GPU idle time and time-to-insight as the measures of success Strong storage fundamentals, including replication, consistency, caching, and data lifecycle management. Strong coding ability.

We work in Python and Go; It’s a bonus if you have: Familiarity with the data-loading and checkpointing patterns used in large-scale model training. An interest in how large models are trained and evaluated, including the trajectory and eval data those runs generate, and a desire to understand the workloads the platform is serving. 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. 100% Parental Leave top-up for up to 6 months, for either parent. 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. is remote-friendly, but we also have offices in Toronto, London, Recent 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. 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. #

📌 Engineer, Software Developer (Remote) (Montreal)
🏢 Talanto
📍 Montreal