Machine Learning Engineer - E-commerce Merchant and Creator

Responsibilities

• Utilize advanced machine learning techniques to analyze large‑scale datasets and identify meaningful correlations and causal relationships related to merchant and creator growth in Tik Tok Shop.
• Collaborate with business stakeholders, product managers, and data scientists to define data‑mining objectives and develop strategies to address complex business problems and opportunities.
• Apply feature‑engineering techniques to derive relevant features and embeddings from raw data and improve the performance of machine‑learning models.
• Develop scalable and efficient data pipelines to preprocess and transform data for machine‑learning tasks, ensuring data quality, consistency, and availability.
• Evaluate and benchmark different machine‑learning approaches, algorithms, and tools, and recommend the most appropriate solutions based on performance, scalability, and interpretability.
• Stay updated with the latest advancements in data mining, machine learning, and related fields, and apply this knowledge to enhance the team’s capabilities and identify new opportunities.
• Communicate findings, insights, and technical concepts effectively to both technical and non‑technical stakeholders, fostering a collaborative and data‑driven decision‑making culture.

• Highly self‑motivated to drive business growth and foster technical advancement.
• Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field.
• 3+ years experience as a Machine Learning Engineer or Data Scientist, with experience in causal machine learning.
• Work experience in user growth, marketing algorithms, recommendation algorithms, advertising algorithms, or related fields.
• Proficient in SQL and Python, with experience in data manipulation.
• Experience with big‑data processing frameworks (e.g., Hadoop, Spark) and distributed computing for efficient data mining on large‑scale datasets.
• Solid understanding of machine/deep learning concepts and techniques, including feature engineering, model evaluation, and optimization.
• Strong analytical and problem‑solving skills, with the ability to handle and derive insights from complex and unstructured datasets.
• Excellent communication and collaboration skills, with the ability to work effectively across cross‑functional teams and convey technical concepts to non‑technical stakeholders.

Compensation
The base salary range for this position is $129,960 – $246,240 annually. Compensation may vary outside this range based on qualifications, skills, and location. Base pay is one part of the total package, which may include discretionary bonuses, incentives, and restricted stock units.

Benefits
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, and more. Paid holidays, sick days, and paid personal time are also provided.

Disability Accommodation
Tik Tok is committed to providing reasonable accommodations in recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons.

Location
Seattle, WA, United States.

Tik Tok is the leading destination for short‑form mobile video, inspiring creativity and bringing joy worldwide. Headquarters are in Los Angeles and Singapore, with additional offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Tik Tok is committed to an inclusive environment where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and strive for a workplace reflecting the communities we reach.

We lead with curiosity, humility, and a desire to make an impact within a rapidly growing tech company. Challenges are opportunities to learn and innovate; a culture of resilience and constant iteration fuels breakthroughs. Join us to create value for communities, inspire creativity, and bring joy.