At a Glance
- Tasks: Design and build web crawlers to acquire high-quality data for AI model training.
- Company: Join Poolside, a pioneering company on the path to Artificial General Intelligence.
- Benefits: Flexible remote work, competitive salary, and a supportive team culture.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Be at the forefront of AI development and make a real impact in tech.
- Qualifications: Experience in data acquisition, web crawling, and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
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. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
ABOUT THE ROLE
You'll be working alongside our pre-training data team, focused on one of the most foundational challenges in training frontier LLMs: acquiring the best possible pre-training data. The data we collect is upstream of everything. It directly shapes the capability of the models we train. As our first dedicated data acquisition engineer, you will spearhead and evolve systems that crawl the web at massive scale, rapidly ingest data from strategic partnerships, and build specialized tooling to maximize recall from high-value sources. You'll collaborate closely with pre-training data researchers and engineers to ensure that our sourcing of data maps to our training needs, to ensure we have the most capable pre-trained models.
YOUR MISSION
To deliver the highest-quality, diverse, and most comprehensive data corpus to fuel the pre-training of frontier models for software development.
RESPONSIBILITIES
- Design, build, and operate a large-scale web crawler responsible for acquiring all openly accessible data on the internet
- Develop specialized deep crawlers targeting high-value sources to improve recall and coverage
- In collaboration with data researchers, own a long-term road map for data acquisition
- Build observability, monitoring, and debugging tooling to ensure reliability and transparency across crawl infrastructure
- Collaborate with pre-training, post-training, and evaluations teams to align data acquisition priorities with model training needs
- Build high-throughput ingestion pipelines for rapidly onboarding partner data and evaluating it for quality
Remote Member of Engineering (Pre-training / Data Acquisition) in Stoke-on-Trent employer: poolside
Poolside is an exceptional employer that fosters a collaborative and kind-hearted work culture, attracting top talent in the field of Artificial General Intelligence. As a Remote Member of Engineering, you'll have the opportunity to work on groundbreaking projects that shape the future of software development while enjoying flexible working arrangements and a commitment to employee growth through continuous learning and innovation. Join us in our mission to reach AGI, where your contributions will directly impact the evolution of intelligent systems.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Member of Engineering (Pre-training / Data Acquisition) in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with people on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data acquisition or web crawling. We want to see what you can do, so make it easy for us to find your best work!
✨Tip Number 3
Prepare for interviews by brushing up on relevant technologies and methodologies. We recommend practising common technical questions and scenarios related to data engineering. The more prepared you are, the more confident you’ll feel!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Remote Member of Engineering (Pre-training / Data Acquisition) in Stoke-on-Trent
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data acquisition and engineering. Share any relevant projects or experiences that highlight your skills in building systems for data collection. We love seeing candidates who are genuinely excited about the role!
Tailor Your Application:Make sure to customise your application to align with our mission at Poolside. Highlight how your background and skills can contribute to acquiring high-quality pre-training data. We want to know how you can help us reach our goal of developing frontier models!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and skills, especially those related to web crawling and data ingestion. We appreciate clarity and want to understand your qualifications without sifting through fluff!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Poolside!
How to prepare for a job interview at poolside
✨Know Your Stuff
Make sure you understand the fundamentals of data acquisition and web crawling. Brush up on the latest technologies and methodologies in this field. Being able to discuss specific tools or frameworks you've used will show that you're not just familiar with the theory but have practical experience too.
✨Show Your Collaborative Spirit
Since this role involves working closely with researchers and engineers, be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects in the past, especially those that required a collective effort to achieve a common goal.
✨Demonstrate Problem-Solving Skills
Think about challenges you've faced in previous roles, particularly related to data acquisition or engineering. Be ready to explain how you approached these problems, what solutions you implemented, and the outcomes. This will highlight your critical thinking and adaptability.
✨Align with Their Mission
Familiarise yourself with Poolside's mission to reach AGI through intelligent systems. During the interview, express your enthusiasm for their goals and how your skills can contribute to achieving them. Showing that you resonate with their vision will set you apart from other candidates.
