招聘

Machine Learning Engineer - Data Recommendation (Capcut)- San Jose
San Jose, CA
·
On-site
·
Full-time
·
2mo ago
薪酬
$136,800 - $259,200
福利待遇
•Learning
•Remote Work
•Unlimited Pto
•Healthcare
必备技能
Apache Spark
SQL
Airflow
Responsibilities
Our team is responsible for the recommendation algorithms of video creation tools globally, overseeing recommendation distribution and user growth optimization across all apps of Cap Cut, including Jianying, Cap Cut, Hypic, so as to enhance content distribution efficiency and user growth efficiency
What You Will Do
- Optimize the core recommendation algorithms and strategy of video creation tools globally, including Cap Cut, Hypic, etc.
- Enhance user growth efficiency by optimizing distribution efficiency of content created by Cap Cut, Hypic, etc.
- Optimize user experiences during creation via a deep understanding of user behavior and state-of-the-art machine learning technologies.
Qualifications
Minimum Qualifications
- Strong coding skills with a solid foundation in data structure and algorithms.
- Strong theoretical knowledge and practical experience in machine learning.
- Excellent problem analysis and solving skills, with passion for tackling challenging problems.
- Familiarity with one or more areas in machine learning, computer vision, natural language processing, or data mining.
- Strong practical ability, papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, etc.) are preferred.
Compensation
The base salary range for this position in the selected city is $136,800 - $259,200 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
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.
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:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
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关于TikTok

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
员工数
Los Angeles
总部位置
$220B
企业估值
评价
3.8
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
4.1
职业发展
3.2
管理层
2.9
68%
推荐给朋友
优点
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
缺点
Work-life balance challenges
Fast-paced and stressful environment
High expectations and tight deadlines
薪资范围
49个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1份报告
$273,000
年薪总额
基本工资
$210,000
股票
-
奖金
-
$273,000
$273,000
面试经验
2次面试
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
常见问题
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
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