General ; Tech Lead, Machine Learning Engineer, Recommendation

Tech Lead, Machine Learning Engineer, Tik Tok Recommendation

Location: San Jose

Employment Type: Regular

Job Code: A161856

• 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 Tik Tok in important markets.

• 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.

The base salary range for this position in the selected city is $244,800 - $450,000 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.

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.

The 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.