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Member of Engineering (Pre-training / Data Research) — Poolside - Poolside

Data Scientist

Posted: February 7, 2026
Posted 151 days ago
Last seen in crawl: July 7, 2026 (1d ago)
Estimated Expiry: March 14, 2026
Role & Management
Role Level:Mid-Level
Management Tier:No People Management
Job Type
Experience
3 years

Job Description

Join Poolside's data team to improve dataset quality for training large language models, leveraging research and engineering skills in a remote, collaborative environment.

Company Information

poolside logo
Technology
Headcount: 50 - 200
Current open roles at Poolside on JobCrawls
LocationActive listings
Remote - EMEA9
Remote - Global8
Remote - East Coast7
Remote - Europe2
Current role mix at Poolside on JobCrawls
Role typeActive listings
Member of Engineering3
Engineering Member3
Data Scientist2
Design Engineer2
Engineering Evaluations1
Technical Support Engineer1
Software Engineer1
Reinforcement Learning Infrastructure Engineer1
Human Resources Specialist1
Full-Stack Developer1
Engineering Evaluation Platform Developer1
Head of Product Experience1
Data Platform Lead1
Current role-level mix at Poolside on JobCrawls
Role levelActive listings
Mid-Level18

Poolside appears in 26 indexed job postings in JobCrawls' Finland dataset since April 2024. In that historical index, the strongest location signals for this employer are Remote - EMEA, Remote - Global, and Remote - East Coast.

Data shown is based on historical job postings from our database.

Job Details

Responsibilities

  • Improve dataset quality for training models
  • Design data pipelines for large-scale data generation
  • Collaborate with research and engineering teams
  • Conduct data ablation experiments

Requirements

  • Strong machine learning background
  • Experience with Large Language Models (LLMs)
  • Python programming skills
  • Experience with distributed data pipelines
  • Research publication experience

Skills & Technologies

PythonLarge Language Models (LLMs)Distributed data pipelinesData augmentationResearch in dataset design

Education Level

Bachelor

Recruitment Process

  1. 1
    Intro call
  2. 2
    Technical interview
  3. 3
    Team fit interview
  4. 4
    Final interview
1 day agoContent Complete

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