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Lead Machine Learning Engineer - User Growth - Recommendation - Singapore Job Opening In Singapore, Singapore – Now Hiring TikTok

Lead Machine Learning Engineer User Growth Recommendation Singapore

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Job description

Overview
Lead Machine Learning Engineer - User Growth - Recommendation - Singapore
Location: Singapore
Employment Type: Regular
Job Code: A A
About the Team
The TikTok User Growth (UG) algorithm team is the core engine propelling the rapid growth of TikTok.

Facing real-world challenges in manifold scenarios, the team skillfully leverages machine learning techniques on massive data to forge efficient growth pathways.

In close collaboration with product teams, we are responsible for personalized recommendation algorithms for TikTok's hundreds of millions of global users.

We are looking for strong research scientists, who are excited about growing their business understanding, building scalable and high-performance algorithms, large models and recommendation systems.


Responsibilities
Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.


Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.


Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.


Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.


Minimum Qualifications
Master's degree (or higher) with a background in computer science, machine learning, or related fields.


Experienced in leading projects and collaborating with teams across different timezones;
Minimum 4 years hands-on experience in one or more of the following areas: recommendation systems, machine learning, deep learning, large language model, computer vision, NLP, causal inference or multimodal machine learning.


Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework.

Have a deep understanding of data structures and algorithms.


Good communication and teamwork skills are required.

Applicants must be passionate about learning new techniques and tackling challenging problems.


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.


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TikTok adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

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7. Obeying Singapore laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead Machine Learning Engineer User Growth Recommendation Singapore typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Machine Learning Engineer User Growth Recommendation Singapore Job Success

TikTok interview tips for Lead Machine Learning Engineer   User Growth   Recommendation   Singapore

Here are some tips to help you prepare for and ace your Lead Machine Learning Engineer User Growth Recommendation Singapore job interview:

Before the Interview:

Research: Learn about the TikTok's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Machine Learning Engineer User Growth Recommendation Singapore interview at TikTok, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TikTok's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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