Machine Learning Engineer - Global E-commerce (ETA, Pricing & Conversion)

- LLM & AI Agent Innovation: Pioneer the development of domain-specific LLMs by leveraging massive e-commerce data for Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement Learning (RL). Design and deploy intelligent AI Agents based on an "Agent + Skill" framework to autonomously diagnose and resolve complex user-facing and operational issues.

Qualifications

Minimum Qualifications
- Master's or PhD degree in Computer Science, Statistics, Mathematics, Operations Research, or a related highly quantitative field.
- Solid foundation in data structures and algorithms, with proficient programming skills in Python, C++, or Java.
- Strong fundamentals in applied machine learning, with hands-on experience processing large-scale data using Big Data tools (e.g., Spark, Hive SQL) and Deep Learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with A/B testing, experimentation design, and data-driven decision making.
- Demonstrated ability to translate complex, open-ended business problems into highly scalable algorithmic solutions.
- A strong passion for solving complex, high-impact e-commerce challenges and driving user growth.

Preferred Qualifications
- Deep expertise and industry experience in at least one of the following core areas:
- Spatio-Temporal Modeling: Sequence prediction, ETA modeling, or graph neural networks.
- Causal Inference: Dynamic pricing, uplift modeling, or user growth algorithms.
- Search & Recommendation: RecSys ranking, computational advertising, or impression allocation.
- LLM / Generative AI: LLM training pipelines (CPT, SFT, RLHF/RLAIF) and building Agentic workflows.
- A strong track record of algorithmic innovation, demonstrated by publications at top-tier conferences (e.g., KDD, NeurIPS, WWW, SIGIR, WSDM, ICLR, ICML).

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $148200 - $300960 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.

Client-provided location(s): Seattle, WA

Job ID: TikTok-7231317842868095289

Employment Type: OTHER

Posted: 2024-12-06T13:21:39