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

Data Scientist

Posted: February 7, 2026
Posted 112 days ago
Last seen in crawl: May 29, 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
Design Engineer2
Data Scientist2
Software Engineer1
Full-Stack Developer1
Data Platform Lead1
Technical Support Engineer1
Head of Product Experience1
Reinforcement Learning Infrastructure Engineer1
Engineering Evaluation Platform Developer1
Engineering Evaluations1
Human Resources Specialist1
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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