Machine Learning Engineer-eCommerce Business Growth

ass 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 [email protected].

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $137750 - $237500 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.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.