1,307 jobs for "Lead Platform Engineer*"

Lead Machine Learning Engineer - Core Feed Recommendation - Singapore

At TikTok

Posted on Sep 5

View job Apply on company site

(General Hire)Tech Lead, Machine Learning Engineer, TikTok Recommendation

At TikTok - San Jose

Posted on Apr 19

View job Apply on company site

Lead IT Security Engineer

At DTCC - Hyderabad

Posted on Oct 15

View job Apply on company site

Tech Lead AI Backend Software Engineer, TikTok - Asset Services

At TikTok - San Jose

Posted on Jun 5

View job Apply on company site

Backend Software Engineer, TikTok Live (Money Platform) - Singapore

At TikTok

Posted on Apr 30

View job Apply on company site

Backend Software Engineer - TikTok Live Money Platform - Singapore

At TikTok

Posted on Feb 9

View job Apply on company site

Backend Software Engineer Graduate (Global Live Data Platform) - 2027 Start

At TikTok

Posted on Aug 3

View job Apply on company site

Machine Learning Engineer - Emerging Business - TikTok BRIC

At TikTok

Posted on Oct 29

View job Apply on company site

Principal Application Engineer-Digital Platform Engineering

At Navy Federal Credit Union - Vienna

Posted on Nov 4

View job Apply on company site

Principal Application Engineer-Digital Platform Engineering

At Navy Federal Credit Union - San Diego

Posted on Nov 4

View job Apply on company site

Principal Application Engineer-Digital Platform Engineering

At Navy Federal Credit Union - Pensacola

Posted on Nov 4

View job Apply on company site

Principal Application Engineer-Digital Platform Engineering

At Navy Federal Credit Union - Winchester

Posted on Nov 4

View job Apply on company site

Platform Engineering Manager Senior

At Capital Group - London

Posted on Oct 15

View job Apply on company site

Platform Engineering Manager Senior

At Capital Group - Charlotte

Posted on Oct 6

View job Apply on company site

Tools and Automations Lead, App Review

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Software Engineering Technical Lead, Apple Card & Savings

At Apple - Cary

Posted on Oct 11

View job Apply on company site

Software Engineering Manager - Analytics Platform

At Apple - Cupertino

Posted on Oct 7

View job Apply on company site

Platform Operations Team Lead - TikTok Safety Product (San Jose)

At TikTok - San Jose

Posted on Apr 1

View job Apply on company site

Senior EPM, China Infrastructure Operations (AI, Search & Knowledge Platform)

At Apple

Posted on Oct 9

View job Apply on company site

Senior EPM, China Infrastructure Operations (AI, Search & Knowledge Platform)

At Apple

Posted on Aug 29

View job Apply on company site

TikTok

Lead Machine Learning Engineer - Core Feed Recommendation - Singapore

SingaporePosted Sep 5, 2025

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

TikTok Core Feed Recommendation team sits in the center of TikTok, designs, implements and improves the core recommendation algorithm that powers the "for you" feed, "following" feed, etc. of the TikTok app. The recommendation system we built connects hundreds of millions of users with relevant content out of billions of videos in real-time, and inspires high-quality content creation for millions of creators on the platform.

The User Growth team is an essential pillar of the Core Feed Recommendation team, directly responsible for implementing and refining new user acquisition and retention strategies. Our team is committed to achieving TikTok's ultimate goals through developing high-performance models and sound strategies. We take pride in our rigorous approach to applied research, innovative system design, and steadfast pragmatism.

We are looking for strong research scientists and engineers at all levels, who are excited about growing their business understanding, building highly scalable and reliable software, and partnering across disciplines with global teams, in pursuit of excellence.

What you'll do:
- Implement machine learning algorithms at large scales to optimize and improve new user acquisition efficiency, and leverage acquisition signals to improve new user retention across all ranking phases including but not limited to retrieval, ranking, re-ranking and etc.
- Work cross functionally with product managers, data scientists and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and communicate results to peers and leaders.
- Run regular A/B tests, perform analysis and iterate algorithms accordingly.
- Have a good understanding of end-to-end machine learning systems. Work with infra teams on improving efficiency and stability.

Qualifications

Minimum Qualifications
- Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, causal inference, content understanding or multimodal machine learning
- Experienced in leading projects and collaborating with teams across different timezones;
- Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms
- Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet)
- Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems
- Prior industry experience with main components of recommendation systems(retrieval, ranking, re-ranking, cold-start etc.) is a plus but not required

Preferred Qualifications
- Publications at main conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys or related conferences
- Strong tracking record of success in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions
- Participation in public/open-source AI-related projects which are of high visibility
- 3 years relevant work experience from a large-scale internet business

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
- Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, causal inference, content understanding or multimodal machine learning
- Experienced in leading projects and collaborating with teams across different timezones;
- Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms
- Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet)
- Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems
- Prior industry experience with main components of recommendation systems(retrieval, ranking, re-ranking, cold-start etc.) is a plus but not required

Preferred Qualifications
- Publications at main conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys or related conferences
- Strong tracking record of success in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions
- Participation in public/open-source AI-related projects which are of high visibility
- 3 years relevant work experience from a large-scale internet business

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

View company profile