Responsibilities

Formulate real-world user data modeling in statistical learning problems and work across the full machine learning (ML) modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning and evaluation, and model selection based on different modeling scenarios to develop, build, and optimize the performance of large and highly scalable ML systems, algorithms, strategies, models, and/or infrastructures. Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience. Build and train ML, deep learning models and their variants to analyze and predict user behavior metrics and treatment effects with ML frameworks. Create data-driven solutions to utilize extensive user behavior datasets for ads-related applications such as ranking, targeting, bidding, calibration, and reporting. Perform statistical analysis and experimentation to iterate and enhance business decisions and improve company ads revenue. Research and design on ML models to optimize our systems, features, algorithms, and product strategies. Partner with product managers and product strategy and operation team to define product strategy and features. Collaborate with strategy team, product managers, policy team, and other key stakeholders to assist in defining products and driving initiatives from ML engineering viewpoint. Implement conversion lift studies to optimize and increase ads revenue for the company. Manage and mentor junior and mid-level team members, providing technical guidance and expertise and sharing engineering best practices.

Qualifications

Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience in each of the following: Coding using Python or C++; Conducting A/B testing to evaluate model performance, optimizing models based on analytical results, and deploying enhanced models to production environments; Developing code and identifying issues in a Linux environment; Developing and deploying large-scale machine learning systems; Optimizing, training, and deploying machine learning and deep learning models using PyTorch, TensorFlow, Python, or mainstream machine learning frameworks; and Utilizing Big data framework using MySQL, Spark, Hadoop, or Flink. Employer: TikTok USDS Joint Venture LLC Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $230466 - $359720 per year To Apply, click the apply button below. Contact [redacted] if you have difficulty submitting resume through the website.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $230466 - $359720 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.