Tech Lead, Machine Learning Engineer (Multiple Positions)

ne team. We're resilient and embrace challenges as they come.
By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
When we create and grow together, the possibilities are limitless.
Join us.

About the Team
Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
Build machine learning (ML) models for TikTok recommendation and improve TikTok feed recommendation infrastructure by implementing ML-based recommendation strategies and rules to satisfy regulations and/or business requirements.
Improve new user recommendation experience on TikTok using ML model/algorithm and build features for ML models.
Build new pipelines for ML model training/iteration.
Collaborate with mobile client team to onboard new signals to backend for recommendation optimization.
Improve ranking/searching efficiency for TikTok Creator Marketplace and recommend creator to advertiser for collaboration.
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 define products and drive initiatives from engineering viewpoint.

Qualifications

Qualifications
Must have a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 4 years of experience in each of the following:
Building end-to-end model training pipelines using Python and Hadoop MapReduce, and training large-scale models using deep learning and machine learning (ML);
Using SQL and Spark to perform large-scale dataset analysis, including statistical, user behavior, probability distribution, and time series analyses;
Conducting data analysis to improve the performance of the following ML products: Input recommender, article answers, article recommendation, and app event optimization; and
Debugging and maintaining the performance of the following ML products: Input recommender, article answers, article recommendation, and app event optimization;
Project management, including collaborating with cross-functional teams to design, develop, and implement data driven business strategies; and
Collaborating with cross-functional stakeholders including engineers, data analysts, and quality assurance analysts to drive product implementation.

Travel Requirement: Domestic and international travel required up to 10%.

Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $224000 - $410000 per year

To Apply, click the apply button below. Contact [email protected] if you have difficulty submitting resume through the website.

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 https://tinyurl.com/RA-request.

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Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $224000 - $410000 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.