Algorithm Engineer
2 weeks ago
Job Summary:
Salary
S$11,250 - S$22,500 / Monthly
Job Type
Seniority
Mid
Years of Experience
At least 3 years
Tech Stacks
TensorFlow PyTorch Spark SQL Hadoop Python
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the Team
The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce.
We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference.
Responsibilities
- Design and develop machine learning algorithms for various tasks, including but not limited to customer segmentation, scoring, outreach, marketing, characterization, and incentive optimization.
- Support marketplace growth business goal attainment through optimizing outreach based on click through rate estimation, outreach timing selection, target audience selection and causal studies.
- Evaluate and benchmark different machine learning approaches, algorithms, and tools, and recommend the most appropriate solutions based on performance, scalability, and interpretability.
- Communicate findings, insights, and technical concepts effectively to both technical and nontechnical stakeholders, fostering a collaborative and datadriven decisionmaking culture.
Qualifications
- Master's or advanced degree in Computer Science, Data Science, Statistics, or a related field.
- 3+ years of experience as a Machine Learning Engineer, Data Scientist, and experience in Deep Learning is preferred
- Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms or related fields is preferred.
- Proficient in using SQL + Python and experience with data manipulation and analysis libraries, experience with TensorFlow or PyTorch is preferred.
- Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing for efficient data mining on largescale datasets.
- Solid understanding of machine/deep learning concepts and techniques, including feature engineering, model evaluation, and optimization.
- Strong analytical and problemsolving skills, with a demonstrated ability to handle and derive insights from complex and unstructured datasets.
- Excellent communication and collaboration skills, with the ability to work effectively in crossfunctional teams and convey technical concepts to nontechnical stakeholders.
- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.
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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