Data Scientist (Search & Recommendation)

Binance

Asia

Presencial

PEN 273.037 - 409.556

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Career growth opportunities
Work-from-home arrangement

Descripción de la vacante

Binance in Lima, Peru is looking for a candidate to design and manage search recommendation services within our blockchain ecosystem. The role demands an MSc or PhD in a relevant field, along with strong experience in machine learning frameworks like PyTorch and TensorFlow.

The successful applicant will work collaboratively across teams to maximize content value and user impact. Join us to tackle innovative projects in a fast-paced environment, with opportunities for career growth and a competitive salary.

Formación

  • 5+ years of relevant industry experience in the content domain preferred.
  • Strong hands-on experience with popular machine learning frameworks.
  • Experience in large-scale application development.

Responsabilidades

  • Design and manage search recommendation services and models.
  • Utilize machine learning-based methods to enhance content matching.
  • Lead development of core content recommendation modules.

Conocimientos

Machine Learning
Computer Vision
PyTorch
TensorFlow
Cross-team collaboration

Educación

MSc or PhD in Machine Learning, Computer Science, or Applied Mathematics

Descripción del empleo

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital‑asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities
  • Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
  • Utilize machine learning‑based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
  • Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
  • Lead the development of core content recommendation modules using data‑driven strategies to maximize content value and user impact.
  • Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.
Requirements
  • MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
  • Strong hands‑on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
  • Experience in large‑scale application development, preferably in content‑related user‑facing applications.
  • Excellent cross‑team collaboration skills with the ability to work effectively with global content teams.
  • Publication record at top‑tier conferences or journals is a plus.
Why Binance
  • Shape the future with the world’s leading blockchain ecosystem
  • Collaborate with world‑class talent in a user‑centric global organization with a flat structure
  • Tackle unique, fast‑paced projects with autonomy in an innovative environment
  • Thrive in a results‑driven workplace with opportunities for career growth and continuous learning
  • Competitive salary and company benefits
  • Work‑from‑home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

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