2,593 jobs for "AI Engineer"

Machine Learning Engineer , E-commerce Merchant Growth (LLM & Agentic Systems)

At TikTok

Posted on Oct 28

View job Apply on company site

Tech Expert/Backend Engineer - Global Live (LLM)

At TikTok

Posted on Sep 29

View job Apply on company site

Senior Machine Learning Engineer - TikTok Short Video Content Understanding/Multimodal Recommendation

At TikTok - San Jose

Posted on Sep 24

View job Apply on company site

Machine Learning Engineer - TikTok Short Video Content Understanding/Multimodal Recommendation

At TikTok - San Jose

Posted on Aug 6

View job Apply on company site

Machine Learning Engineer Intern (Trust & Safety) - 2026 Start (PhD)

At TikTok

Posted on Aug 5

View job Apply on company site

Machine Learning Engineer, E-commerce Governance Algorithms

At TikTok - Seattle

Posted on Jul 24

View job Apply on company site

Backend Software Engineer (Aeolus) - Data Platform

At TikTok

Posted on Jan 30

View job Apply on company site

Site Reliability Engineer - Data Infrastructure

At TikTok - San Jose

Posted on Jan 2

View job Apply on company site

Site Reliability Engineer - Data Infrastructure

At TikTok - Seattle

Posted on Dec 28

View job Apply on company site

Backend Software Engineer (Transactions) - TikTok Local Services - Singapore

At TikTok

Posted on Jun 27

View job Apply on company site

Problem Management Director

At DTCC - Coppell

Posted on Nov 7

View job Apply on company site

Vice President, Client Enrollments

At Achieve - Tempe · Orlando

Posted on Nov 4

View job Apply on company site

Senior Solutions Architect

At Delta Dental - Rancho Cordova

Posted on Oct 28

View job Apply on company site

Senior Solutions Architect

At Delta Dental - Alpharetta

Posted on Oct 28

View job Apply on company site

Senior Solutions Architect

At Delta Dental - Oakland

Posted on Oct 28

View job Apply on company site

AI/ML Architect

At Alight Solutions - Remote / Flexible

Posted on Oct 27

View job Apply on company site

Product Manager Associate Director - Technology Research & Innovation

At DTCC - Jersey City

Posted on Oct 27

View job Apply on company site

.NET Application and Solutions Architect - Assistant Vice President

At iCapital - Salt Lake City

Posted on Oct 23

View job Apply on company site

.NET Application and Solutions Architect - Assistant Vice President

At iCapital - Salt Lake City

Posted on Oct 22

View job Apply on company site

Senior Plasma Business Architect

At CSL - King of Prussia

Posted on Oct 16

View job Apply on company site

TikTok

Machine Learning Engineer , E-commerce Merchant Growth (LLM & Agentic Systems)

SingaporePosted Oct 28, 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

About Our Team
Join the E-commerce Merchant Growth team at TikTok!
We're the core team building LLM-powered agentic systems that drive and accelerate seller growth across global markets.
We bring cutting-edge AI into production at scale - from applied LLMs and multi-agent systems to real-world business impact in one of the fastest-growing e-commerce ecosystems in the world.
We're looking for brilliant and motivated ML engineers eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and large-scale intelligent systems to real-world challenges.
If you love building, experimenting, and shaping how AI transforms commerce, we want to talk to you.
Applications are reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
1. Develop and deploy deep learning and LLM-powered systems for merchant operational tools and global e-commerce growth scenarios.
2. Leverage large-scale e-commerce data to power agentic systems that generate actionable insights - from CRM content generation and store decoration to automated email reply and outreach optimization.
3. Use ML models to predict seller performance, identify growth gaps, and provide agent-based recommendations (e.g., campaign design, pricing, and promotions).
4. Collaborate with cross-functional partners (product, data science, operations) to design and deliver 0-to-1 projects that fundamentally reshape how merchants grow, impacting millions of daily sales across key categories (beauty, fashion, health, etc.).
5. Build lead-scoring models, merchant tiering algorithms, outreach optimization systems, and knowledge graphs to enhance onboarding and retention efficiency.
6. Apply data mining and predictive modeling to optimize product pricing, promotion, and traffic allocation strategies.
7. Communicate technical insights effectively to both technical and non-technical stakeholders, fostering a collaborative, data-driven culture.

Qualifications

Minimum Qualifications:
1. Bachelor degree and above in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with experience in data mining or deep learning.
2. Solid understanding of ML and deep learning fundamentals - classification, regression, NLP, and model optimization.
3. Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
4. Demonstrated ability to connect algorithms with business impact; highly self-driven with strong ownership and curiosity.
5. 2+ years of experience as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.
6. Excellent analytical, teamwork, and communication skills.

Preferred Qualifications:
1. Experience in applied LLMs, multi-agent systems, or RAG (retrieval-augmented generation) pipelines.
2. Published work in top-tier conferences (KDD, NeurIPS, ICML, SIGIR, WSDM, WWW, AAAI, IJCAI, RecSys, etc.) or success in ML competitions.
3. Hands-on experience in e-commerce or other large-scale, data-intensive production environments.
4. Passion for building agentic systems that drive real-world business outcomes.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
1. Bachelor degree and above in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with experience in data mining or deep learning.
2. Solid understanding of ML and deep learning fundamentals - classification, regression, NLP, and model optimization.
3. Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
4. Demonstrated ability to connect algorithms with business impact; highly self-driven with strong ownership and curiosity.
5. 2+ years of experience as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.
6. Excellent analytical, teamwork, and communication skills.

Preferred Qualifications:
1. Experience in applied LLMs, multi-agent systems, or RAG (retrieval-augmented generation) pipelines.
2. Published work in top-tier conferences (KDD, NeurIPS, ICML, SIGIR, WSDM, WWW, AAAI, IJCAI, RecSys, etc.) or success in ML competitions.
3. Hands-on experience in e-commerce or other large-scale, data-intensive production environments.
4. Passion for building agentic systems that drive real-world business outcomes.

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