San Jose, CA
2 months ago

Job Overview

Job Type
Senior Level | Data and Analytics
Pay
The base salary range for this position in the selected city is $254400 - $480000 annually.

Job description

Salary:
USD 254,400 - 480,000 per year
Location:
San Jose, CA
Work arrangement:
On-site

(General Hire)Tech Lead, Machine Learning Engineer, TikTok Recommendation at TikTok in San Jose, CA.

Responsibilities

  • Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
  • Deliver end-to-end machine learning solution to address critical product challenges;
  • Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
  • Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Requirements

Minimum Qualification

  • Bachelor degree in computer science or a related major, with 5+ years of related work experience;
  • Strong software development experience with C++, Python or other programming language;
  • Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
  • Strong communication and teamwork skills;
  • Passion about techniques and solving challenging problems.

Job Information

[For Pay Transparency] Compensation Description (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.

About the Company

Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.

Additional Information

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.
Role:
(General Hire)Tech Lead, Machine Learning Engineer, TikTok Recommendation
Job Type:
Senior Level | Data and Analytics

Company profile

TikTok operates a short-form mobile video platform where people create videos on their smartphones and share them with a community of viewers. Its feed recommends content tailored to each user, with communities around books, learning, gaming, food and sports. TikTok's global headquarters are in Los Angeles and Singapore, and the company has offices in Berlin, Dubai, Dublin, Jakarta, London, Mexico City, New York, Paris, Sao Paulo, San Jose, Seoul, Sydney and Tokyo.

Headquarters
Los Angeles, California, United StatesSingapore, Singapore
Founded
2016

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