Poolside logoPoolside logo

Engineering Member - Pre-training & Synthetic Data

PoolsideRemote (US)
Remote Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Experience Level

Entry Level

Qualifications

Qualifications:Proven experience in data generation and dataset enhancement. Strong analytical skills and a solid understanding of machine learning principles. Experience with synthetic data generation techniques. Ability to work collaboratively in a fast-paced, remote environment. Excellent communication skills, both verbal and written.

About the job

ABOUT POOLSIDE

At Poolside, we are on a mission to develop Artificial General Intelligence (AGI) within this decade. As we strive to be among the select few companies to achieve this remarkable goal, we recognize that our success hinges on our ability to innovate rapidly, attract top-tier talent, and remain at the forefront of applied research, engineering, and scalable deployment.

We are committed to creating a world where AI drives meaningful economic contributions and scientific advancements. Our approach focuses on enhancing the software development process by integrating intelligent systems, coding assistants, and cutting-edge models directly into the development environments of security-conscious enterprises.

ABOUT OUR TEAM

Founded in the United States, our diverse team spans Europe and North America. We meet each month in Paris for collaborative sessions, with the flexibility to adjust travel schedules as needed. Our gatherings foster collaboration and strengthen our tight-knit culture, which is built on mutual respect and a shared commitment to excellence.

Our multidisciplinary team consists of experts in research, engineering, and business, united by a passion for our collaborative projects. We thrive in a fast-paced environment that demands intellectual curiosity and dedication, while also fostering a culture of kindness and humility.

ABOUT THE ROLE

As a member of our data team, you will play a pivotal role in enhancing the quality of the datasets we use for training our models. This hands-on position focuses on improving pre-training datasets by leveraging your experience and intuition to execute training experiments. Your primary goal will be to generate synthetic data at scale and identify the most effective strategies for achieving high-quality results.

About Poolside

Poolside is a pioneering company focused on developing Artificial General Intelligence (AGI), committed to reshaping the software development experience through innovative solutions. Our dynamic team collaborates across continents, fostering a culture of creativity and excellence.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, location & role pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.