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Machine Learning Engineer-eCommerce Business Growth - Seattle, WA, United States - TikTok
Description
Responsibilities
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 UsCreation 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. 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 communities we serve.
Join us. The E-Commerce Business Growth- Data Compass team aims to cater to merchants and creators on the e-commerce platform and improve their operational efficiency. Our focus is to optimize various aspects such as merchandise strategy, user operation, and marketing, leveraging algorithm-driven solutions. Responsibilities
1. Improve the working efficiency of e-commerce merchants, influencers, and account managers to boost the growth of sellers' products, customers, and revenue.
2. Participate in the optimization of sellers' operations, such as marketing insights, assortment planning, customer relationship management (CRM), anomaly detection, and diagnostic attribution.
3. Participate in the optimization of merchandise operations, such as seasonal and trend analysis, supply and demand analysis, new product and product growth analysis, and improving the alignment of products and associated traffic.
4. Participate in the optimization of the marketing strategies and Return on Investment (ROI) of sellers and influencers in TikTok e-commerce live streaming, short video, and ShopTab.
5. Analyze and conduct feature engineering for massive data such as customer profiling, e-commerce transactions, relationships between products, business opportunities, and deploy the model pipeline.
6. Use techniques such as representation learning, graph modeling, causal inference, and time series forecasting to assist merchants and influencers in problem-solving and discovering growth opportunities. Qualifications 1. A bachelor's degree is required, with a strong preference for fields of study in computer science, statistics, and data mining.
2. Experienced with feature engineering from massive raw data, such as customer/shop/influencer profiling and e-commerce transactions.
3. Solid understanding and hands-on experience with data structures algorithms, machine learning models such as boosting trees, logistic regression, and clustering.
4. Proficient coding skills using Python, Spark, Tensorflow/PyTorch, and other deep learning tools.
5. Experience in search and recommendation systems, with an emphasis on AIGC field is a plus.
6. A strong desire to learn and discover new things, result-oriented, customer-oriented, team player, and self-driven. 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. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at Job Information: 【For Pay Transparency】Compensation Description (annually)
The base salary range for this position in the selected city is $ $194750 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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Machine Learning Engineer-eCommerce Business Growth professionals in Seattle
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Gavaskar Bhojan
Architect & Senior Developer - SAP Hybris commerce