Binance
via Lever
Algorithm Engineer - Recommendation & Search
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 19h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 98d ago
The date the source published, not the day we noticed it (2026-06-09). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Asia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$2,062–3,050/mo
Middle 50% of 11 listings that do state pay — Engineering · all levels · Asia · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 43d ago · last seen just now
The listing
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.