Member of Engineering (Pre-training / Data)

ABOUT POOLSIDE

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. 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, engineering, infrastructure and deployment at scale. 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. They will create powerful economic engines. They will obsess over the success of their users and customers.

poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.

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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 on our data team focused on the quality of the datasets being delivered for training our models. This is a hands-on role where your #1 mission would be to improve the quality of the pretraining datasets by leveraging your previous experience, intuition and training experiments. This includes synthetic data generation and data mix optimization.

You would be closely collaborating with other teams like Pre-training, Fine-tuning and Product to define high-quality data both quantitatively and qualitatively.

Staying in sync with the latest research in the field of dataset design and pretraining is key for being successful in a role where you would be constantly showing original research initiatives with short time-bounded experiments and highly technical engineering competence while deploying your solutions in production. With the volumes of data to process being massive, you'll have at your disposal a performant distributed data pipeline together with a large GPU cluster.

YOUR MISSION

To deliver massive-scale datasets of natural language and source code with the highest quality for training poolside models.

RESPONSIBILITIES

• Follow the latest research related to LLMs and data quality in particular. Be familiar with the most relevant open-source datasets and models

• Closely work with other teams such as Pretraining, Fine-tuning or Product to ensure short feedback loops on the quality of the models delivered

• Suggest, conduct and analyze data ablations or training experiments that aim to improve the quality of the datasets generated via quantitative insights

SKILLS & EXPERIENCE

• Strong machine learning and engineering background

• Experience with Large Language Models (LLM)

  • Good knowledge of Transformers is a must

  • Knowledge/Experience with cutting-edge training tricks

  • Knowledge/Experience of distributed training

  • Trained LLMs from scratch

  • Knowledge of deep learning fundamentals

• Experience in building trillion-scale pretraining datasets, in particular:

  • Ingest, filter and deduplicate large amounts of web and code data

  • Familiar with concepts making SOTA pretraining datasets: multi-linguality, curriculum learning, data augmentation, data packing, etc

  • Run data ablations, tokenization and data-mixture experiments

  • Develop prompt engineering pipelines to generate synthetic data at scale

  • Fine-tuning small models for data filtering purposes

• Experience working with large-scale GPU clusters and distributed data pipelines

• Strong obsession with data quality

• Research experience

  • Author of scientific papers on any of the topics: applied deep learning, LLMs, source code generation, etc, is a nice to have

  • Can freely discuss the latest papers and descend to fine details

  • Is reasonably opinionated

• Programming experience

  • Strong algorithmic skills

  • Linux

  • Git, Docker, k8s, cloud managed services

  • Data pipelines and queues

  • Python with PyTorch or Jax

  • Nice to have:

    • Prior experience in non-ML programming, especially not in Python

    • C/C++, CUDA, Triton

PROCESS

• Intro call with Eiso, our CTO & Co-Founder

• Technical Interview(s) with one of our Founding Engineers

• Team fit call with the People team

• Final interview 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

• Great diverse & inclusive people-first culture

Data Retention

Except as otherwise permitted or required by applicable law or regulation, we will only retain your personal data for as long as necessary to fulfill the purposes we collected it for, as required to satisfy any legal, accounting, or reporting requirements, or as necessary to resolve disputes. To determine the appropriate retention period for personal data, we consider our statutory obligations, the amount, nature, and sensitivity of the personal data, the potential risk of harm from unauthorized use or disclosure of your personal data, the purposes we process your personal data for, and whether we can achieve those purposes through other means. We specify the retention periods for your personal data in our data retention policy. Under some circumstances we may anonymize your personal data so that it can no longer be associated with you. We reserve the right to use such anonymous and de-identified data for any legitimate business purpose without further notice to you or your consent. If you are offered and accept employment with poolside, the personal data we collected during the application and recruitment process will become part of your employment record, and we may use it in connection with your employment consistent with our employee personal data policies. If you do not become an employee, or, once you are no longer an employee of poolside, we will retain and securely destroy your personal data in accordance with our document retention policy and applicable laws and regulations.

Rights of Access, Correction, Erasure and Objection

It is important that the personal data we hold about you is accurate and current. Please keep us informed if your personal data changes during the recruitment process. By law you may have the right to request access to, correct, and erase the personal data that we hold about you, or object to the processing of your personal data under certain circumstances. You may also have the right to request that we transfer your personal data to another party. If you want to review, verify, correct, or request erasure of your personal data, object to the processing of your personal data, or request that we transfer a copy of your personal data to another party, please contact us at legal@poolside.ai . Any such communication must be in writing. We may request specific information from you to help us confirm your identity and your right to access, and to provide you with the personal data that we hold about you or make your requested changes. Applicable law may allow or require us to refuse to provide you with access to some or all of the personal data that we hold about you, or we may have destroyed, erased, or anonymized your personal data in accordance with our record retention obligations and practices. If we cannot provide you with access to your personal data, we will inform you of the reasons why, subject to any legal or regulatory restrictions.

Right to Withdraw Consent

Where you have provided your consent to the collection, processing, and transfer of your personal data, you may have the legal right to withdraw your consent under certain circumstances. To withdraw your consent, if applicable, contact us at legal@poolside.ai

Changes to this Privacy Notice

We reserve the right to update this Privacy Notice at any time, and we will provide you with a new Privacy Notice when we make any updates. If we would like to use your previously collected personal data for different purposes than those we notified you about at the time of collection, we will provide you with notice and, where required by law, seek your consent, before using your personal data for a new or unrelated purpose. We may process your personal data without your knowledge or consent only where required by applicable law or regulation.

Contact Us

If you have any questions about our processing of your personal data or would like to make an access or other request, please contact us at legal@poolside.ai