Urgent! Machine Learning Engineer - TikTok BRIC Job Opening In singapore, Singapore – Now Hiring 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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose.
Our products are built to help imaginations thrive.
This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team.
Status quo?
Never.
Courage?
Always.
At TikTok, we create together and grow together.
That's how we drive impact-for ourselves, our company, and the users we serve.
Join us.
The Business Risk Integrated Control (BRIC) team is missioned to: - Protect ByteDance users, including and beyond content consumers, creators, advertisers;
- Secure platform health and community experience authenticity;
- Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.
The BRIC team works to minimize the damage of inauthentic behaviors on ByteDance platforms (.
TikTok, CapCut,Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.
In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions.
Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.
The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.
Responsibilities
- Develop machine learning solutions to proactively address and mitigate business risks across ByteDance products and platforms.
These risks include, but are not limited to, abusive accounts, fake engagements, spam redirection, scraping, fraud, and others.
- Enhance modeling infrastructure, labeling processes, feature engineering, and algorithms to improve robustness, automation, and generalization, while reducing both modeling and operational burden on risk management teams and easing the integration of new products and risk areas.
- Drive improvements in risk-related machine learning practices, focusing on privacy and compliance, interpretability, and advanced risk perception and analysis.
Minimum Qualifications:
- Degree or above in computer science, statistics, or other relevant, machine-learning-heavy majors.
- Solid engineering skills.
Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
- Strong machine learning background.
Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
Preferred Qualification:
- Ability to think critically, objectively, rationally.
Reason and communicate in result-oriented, data-driven manner.
High autonomy.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1460 jobs in Singapore and 1303 jobs in singapore. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! TikTok is currently hiring and seeking a Machine Learning Engineer TikTok BRIC to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer TikTok BRIC Jobs singapore.
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:The average salary range for a Machine Learning Engineer TikTok BRIC Jobs Singapore 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.
Key qualifications for Machine Learning Engineer TikTok BRIC typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer TikTok BRIC 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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