Member of Engineering, Data

About our team

We are a remote-first team that sits across Europe and North America. We come together once a month in-person for 3 days, always Monday-Wednesday. We also do longer off-sites twice a year.

Our team is a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.

About the role

This is a hands-on role where you'll work end-to-end to produce the highest quality datasets.

You'll have to build and operate tools and automation that will help you and your teammates to process, clean, filter, categorize, deduplicate, transform data and metadata from various sources and make it available for other teams to consume.

The datasets can be quite large and we need to move quickly, so it's very important to know how to process data at scale.

Your mission

To produce the best dataset to train our models.

Responsibilities

The quality of LLM models heavily depends on the data it's trained on.

Several other teams depend on the data in order to do their magic and you'll have to work closely with them and help them thrive. You'll be writing code and designing distributed systems. You'll be constantly balancing short term and long term priorities and you'll have to find pragmatic approaches to unblock other teams as the need arises.

Skills & Experience

• Experience building large scale streaming and batch data processing pipelines
• Comfortable with distributed systems
• Data pipelines, distributed processing, fault tolerance, performance optimization.
• Message queues, event-driven architectures, e.g. Kafka, Google pub/sub.
• Clouds: managed services, storage. GCP, AWS, Azure.
• Experience with developer experience tools
• Worked on CI/CD pipelines
• Worked with containerization
• Experience with testing code
• Unit testing
• Integration testing
• Test performance optimization
• Programming languages
• Experience in either Go, or Python (we're open to people from other languages)
• Big plus if you've worked with Rust, C++ or other lower level languages
• Other relevant tools/experience
• DevOps: Git, Docker, k8s, Terraform, baremetal.
• Monitoring and alerting (Grafana, Prometheus, Datadog)

Process

• Intro call with Beatriz, our Head of People
• Technical Interview(s) with two of our Founding Engineers
• Meet & greet call with Eiso, our CTO & Co-Founder

Benefits

• Fully remote work & flexible hours;
• 37 days/year of vacation & holidays;
• Health insurance allowance for you and dependents;
• Company-provided equipment;
• Wellbeing, always-be-learning and home office allowances;
• Frequent team get togethers in Paris;
• Great diverse & inclusive people-first culture.