Job Search and Career Advice Platform

Enable job alerts via email!

LLM Training Product Manager - Data & Alignment Lead

BYTEDANCE PTE. LTD.

Singapore

On-site

SGD 70,000 - 90,000

Full time

20 days ago

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading technology firm in Singapore is seeking an experienced product manager to enhance Big Language Model strategies. This role involves collaborating with technical and business teams to optimize model effect and data integration. With a minimum of three years' experience in algorithm-driven products and strong proficiency in English, candidates should also be enthusiastic learners passionate about user experience. Ideal for a collaborative individual focused on quality and effectiveness.

Qualifications

  • Solid understanding of alignment and related approaches.
  • Minimum of three years of experience in product management or algorithm engineering.
  • Proficiency in English (spoken and written).

Responsibilities

  • Analyze requirements and optimize strategy for Big Language Model.
  • Collaborate with business teams to integrate LLM into products.
  • Define data requirements for aligning LLMs across global markets.
  • Develop methodologies for data acquisition and monitor costs.
  • Evaluate impact of data production tools on effectiveness.

Skills

Alignment strategies
Supervised Fine-Tuning
Reinforcement Learning from Human Feedback
Proficiency in English
Job description
A leading technology firm in Singapore is seeking an experienced product manager to enhance Big Language Model strategies. This role involves collaborating with technical and business teams to optimize model effect and data integration. With a minimum of three years' experience in algorithm-driven products and strong proficiency in English, candidates should also be enthusiastic learners passionate about user experience. Ideal for a collaborative individual focused on quality and effectiveness.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.