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Machine Learning Engineer, Location Product Job Opening In Singapore, Singapore – Now Hiring TikTok


Job description

Overview
Machine Learning Engineer, Location Product — TikTok Data Video Recommendation Team focuses on personalized recommendation algorithms for TikTok's global users.

You will collaborate with top algorithm engineers to leverage deep learning, recommendation algorithms, and large models to transform and enhance the TikTok user experience and content ecosystem.

The local service recommendation team targets user experience optimization and transaction scale for lifestyle service content, including hotels, travel, dining, and more, with the aim of pioneering new content and revenue streams.


About TikTok Location Products: We connect products and services related to life through Points of Interest (POI), videos, LIVE, and search to enrich daily life experiences.

We strive for an inclusive, fair, and healthy business environment that helps businesses, service providers, creators, and other stakeholders generate more income and improve service efficiency.


Responsibilities
Responsible for developing transaction recommendation algorithms for international local services.

Collaborate with the team to build an industry-leading recommendation system that accurately recommends local service products to hundreds of millions of global users, increasing transaction volume and enhancing the user transaction experience.


Proficient in core recommendation algorithms with a deep understanding of machine learning, deep learning, and LLMs applied to video, live streaming, geographic location, and product recommendation systems.

Optimize recall strategies, model architectures, and multi-objective optimization mechanisms to improve efficiency and accuracy.


Drive the integration of local service transaction optimization with industry knowledge.

Analyze characteristics of the local services industry (e.g., hotels, travel, dining) and combine domain knowledge with recommendation algorithms to enhance user transaction experiences, improve conversion efficiency, and enable scalable GMV growth in local services.


Optimize user transaction and decision-making experiences.

Research user discovery behaviors using data mining and analytical techniques to improve user interactions during transactions and overall experience, strengthening user trust and loyalty to the platform.


Qualifications
Minimum Qualifications: Master’s degree or above in computer science or a related field.


Strong programming skills with a solid foundation in machine learning/deep learning; experience in recommendation systems, computational advertising, search engines, or LLM-related fields is preferred.


Passionate about recommendation algorithms and machine learning, with a willingness to learn, think critically, delve deeply, and innovate.


Excellent problem analysis and solving skills, along with strong communication abilities and a collaborative team spirit.


About TikTok
TikTok is the leading destination for short-form mobile video.

Our global headquarters are in Los Angeles and Singapore, with 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 product helps people authentically express themselves, discover and connect.

Our diverse teams create value for communities, inspire creativity, and bring joy.

We pursue curiosity, humility, and impact in a rapidly growing tech company, embracing challenges with an Always Day 1 mindset to achieve meaningful breakthroughs for our users.

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 globally, and so does our workplace.

We are dedicated to celebrating diverse voices and creating an environment that reflects the communities we reach.


Details
Seniority level: Associate
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
#J-18808-Ljbffr

Required Skill Profession

Other General


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Singapore, Singapore, highlighting market share and opportunities for professionals in Machine Learning roles.

1469 Jobs in Singapore
1469
1309 Jobs in Singapore
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Download Machine Learning Jobs Trends in Singapore and Singapore

Are You Looking for Machine Learning Engineer, Location Product Job?

Great news! is currently hiring and seeking a Machine Learning Engineer, Location Product to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Machine Learning Engineer, Location Product Positions?

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.

What Are the Key Qualifications for Machine Learning Engineer, Location Product?

Key qualifications for Machine Learning Engineer, Location Product 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 Machine Learning Engineer, Location Product Job Success

TikTok interview tips for Machine Learning Engineer, Location Product

Here are some tips to help you prepare for and ace your Machine Learning Engineer, Location Product 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.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

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

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Be Positive: Focus on your strengths and accomplishments.

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 Machine Learning Engineer, Location Product 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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