Member of Engineering, Search

About poolside

In this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research and engineering at scale. They will create powerful economic engines. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this.

poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.

We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.

At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.

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About our team

We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.

Our R&D and production teams are 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

You would be working as part of our Applied Research team, focused on building our search and retrieval systems that expand the knowledge base of our models. You will work on designing and building large-scale distributed systems to serve our search, experimenting with different retrieval algorithms, and integrating these systems with both our product as well as our training pipelines.

Your mission

To build a highly performant and accurate search and retrieval system and integrate it to expand the knowledge base of our models.

Responsibilities

• Design and implement large-scale data ingestion pipelines
• Take responsibility for data curation and obsess over data quality in the knowledge corpus
• Experiment with retrieval algorithms, both classical and embedding based
• Work together with model training teams, as well as product teams to integrate the system into the model and product
• Follow the latest research on LLMs, RAG, and source code generation. Propose and evaluate innovations
• Work in the team: plan future steps, discuss, and always stay in touch

Skills & Experience

• Strong programming skills in either Go, C, C++ or Python (we are open to polyglot engineers from other languages)
• Strong experience in database and storage systems
• Solid grasp of LLM fundamentals: How they work, what they are trained on
• 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
• Engineering experience
• DevOps: Git, Docker, k8s, Terraform, baremetal
• Monitoring and alerting (Grafana, Prometheus, Datadog)
• Strong algorithmic skills
• Use modern tools and are always looking to improve

Process

• Intro call with Eiso, our CTO & Co-Founder
• Technical Interview(s) with one of our Founding Engineers
• Team-fit call with Beatriz, our Head of People
• Meet & greet call with the founders, Jason and Eiso, CEO and CTO respectively

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
• Great diverse & inclusive people-first culture