Machine Learning Engineer, Search Recommendation (E-commerce) - Singapore

TIKTOK PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Meal allowance

Competitive compensation

Job summary

TikTok is seeking a talented engineer to join the Search Growth E-commerce team, shaping the next generation of the TikTok shopping experience. You will work on cutting-edge ML, NLP, CV and multi-modal techniques to improve search quality for over 1 billion users worldwide.

Join a fast-growing tech company with a strong emphasis on experimentation, collaboration, and impact, located in Singapore.

Qualifications

• Bachelor or advanced degree in computer science or a related technical discipline.
• Excellent coding skills with solid knowledge of data structures and algorithms.
• Strong in analysis, modeling, problem-solving and data interpretation.
• Publications in top journals or conferences are a plus; ACM-ICPC medals are a plus.

Responsibilities

• Elevate search recommendation services and models for TikTok E-commerce.
• Optimize the recommender system from recall to final ranking in the end-to-end workflow.
• Push forward short-text and NLP-driven recommendation research.

Skills

Programming

Data structures

Algorithms

Problem solving

ACM-ICPC medals

Education

Bachelor's degree in computer science or related

Job description

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

The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide.

Responsibilities

• Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
• Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
• Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.

Minimum Qualifications

• Bachelor or advanced degree in computer science or a related technical discipline.
• Excellent coding skills. Solid knowledge of data structure and algorithms.
• Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.
• Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.

Preferred Qualifications

• Good product sense with a focus on user experience.
• Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.