412 jobs for "Lead Machine Learning Engineer"

Responsibilities

About the Team
Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is a diverse group of world-level researchers and engineers, who develop and support the production recommendation systems that drive product impact. The team is fast-paced, collaborative and impact-driven.

What is General Hire ?
If you're applying under the General Hire track for the TikTok Recommendation Organization, you'll go through a unified interview process designed to assess your fit across the whole TikTok Recommendation Organization. Based on your background, experience, interests, and interview performance, we'll help identify one or more teams that are the best match for you.

Responsibilities - What You'II Do
- Develop recommendation systems that improve user experience and platform content ecosystem.
- Build machine learning systems and pipelines to address critical product challenges.
- Own a full stack machine learning system(s), lead its development, support, and improvements.
- Collaborate with cross functional teams to design product strategies and build solutions to grow TikTok in the US market.

Qualifications

Minimum Qualifications
- Bachelor degree or above in computer science or a related major, with 4+ years of related work experience.
- Proficient in C/C++, Python and have a deep understanding of data structure and algorithm design. Practical experience using these languages building large-scale production systems.
- Solid knowledge and practical experience developing machine learning systems with at least one popular deep learning framework (e.g., PyTorch, TensorFlow).
- Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
- Good written and verbal communication skills.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $162000 - $387600 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.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
- Bachelor degree or above in computer science or a related major, with 4+ years of related work experience.
- Proficient in C/C++, Python and have a deep understanding of data structure and algorithm design. Practical experience using these languages building large-scale production systems.
- Solid knowledge and practical experience developing machine learning systems with at least one popular deep learning framework (e.g., PyTorch, TensorFlow).
- Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
- Good written and verbal communication skills.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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