Responsibilities

About Tik Tok:

Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy.
Tik Tok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us:

Inspiring creativity is at the core of Tik Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible.
Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
Every challenge is an opportunity to learn and innovate as one 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:

Advise on the engineering of live video recommendation machine learning (ML) and deep learning algorithms.
Deliver end-to-end ML solutions to address critical product challenges.
Own the full-stack ML system and optimize algorithms and infrastructure to improve performance.
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.
Use big data frameworks and analytics tools to aggregate, collate, and analyze experiment data.
Collaborate with strategy team, product managers, policy team and other key stakeholders to assist in defining products and driving initiatives from ML engineering viewpoint.
Mentor junior Machine Learning Engineers and interns.

Qualifications

Qualifications:

Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), 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), 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++;
Optimizing, training, and deploying machine learning and deep learning models using Py Torch or Tensor Flow;
Developing code and identifying issues in Linux environment;
Developing and deploying large-scale machine learning systems; and
Utilizing Big data framework Spark, Hadoop, or Flink.
Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $194000 - $355000 per year
To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.
Tik Tok 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 Tik Tok, 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 InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $194000 - $355000 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.