Machine Learning Engineer - Search (NLP)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading tech company in Singapore seeks a passionate candidate to join its Search-Multimodal Team. In this role, you will focus on developing large model-based search technologies to enhance user experience across various languages and areas. The ideal candidate will have a degree in computer science and at least 3 years of experience in search or LLM, with strong coding skills in C++ and Python. This opportunity also offers career growth and competitive compensation.

Benefits

Positive team atmosphere

Career growth opportunity

Meal allowance

Competitive compensation

Qualifications

• Minimum 3 years of experience in Search or Large Models (LLM/MLLM).
• Solid knowledge of algorithms and data structures.
• Experience with advanced LLM technologies.

Responsibilities

• Participate in the core research and development of international video search.
• Improve algorithms for the search engine using large models.
• Enhance multimodal retrieval capabilities and design personalized search.

Skills

Coding skills

Problem-solving abilities

C++ proficiency

Python proficiency

Education

Bachelor’s or advanced degree in computer science or related discipline

Tools

Linux development environment

Job description

About TikTok

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

Positive team atmosphere, Career growth opportunity, 100+ mil users, Meal allowance, Competitive compensation

Responsibilities

About the team

TikTok Search-Multimodal Team focuses on developing large model-based search technologies to serve users across multiple languages and countries worldwide. We leverage large language models (LLMs) and multimodal large models (MLLMs) trained on massive datasets to optimize our search algorithms, enhancing key aspects such as relevance. Our technical innovations are directly applied to TikTok’s search business, continuously improving the global user experience.

1. Participate in the core research and development of our international video search engine, leveraging large language models (LLMs) and multimodal large models (MLLMs) with hundreds of billions of parameters to drive innovative upgrades in search algorithms and deliver a world-class intelligent search experience;

2. Optional directions include:

• (1) Advance LLM technologies (including pre-training, reinforcement learning, RAG, and CoT) for diverse search scenarios to improve relevance, recency, and other key aspects.
• (2) Utilize MLLMs to enhance multimodal retrieval capabilities. Engage in the research and development of video search and related algorithms, including video content understanding, visual representation learning, and multimodal reasoning;
• (3) Apply large-scale models to design personalized search algorithms that understand user intent and deliver tailored search results;
• (4) Build reliable, low-latency online search services with large-scale data to ensure stability and superior user experience.

Qualifications

Minimum Qualifications:

• Bachelor’s or advanced degree in computer science or a related discipline.
• At least 3 years of experience in Search or Large Models (LLM/MLLM).
• Solid coding skills and fundamental knowledge of algorithms and data structures.
• Excellent analytical and problem-solving abilities.
• Proficient in Linux development environment and skilled in C++ and Python.

Preferred Qualifications:

• Publications in top-tier journals or conferences are a plus.
• Experience winning ACM-ICPC medals is a plus.