1,210 jobs for "Data Engineer 2"

Responsibilities

Team Introduction:
Our Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Build and maintain high-performance online services and data pipelines for TikTok Live recommendation systems.
- Design and develop high-performance computing frameworks and storage systems to support real-time live streaming scenarios.
- Build globalized large-scale recommendation systems for live broadcast use cases.
- Ensure production system stability through troubleshooting, mechanism design, and tooling development.
- Develop data analytics and visualization capabilities to transform raw data into actionable insights.
- Apply data mining, machine learning, and NLP techniques to extract insights from large-scale datasets.

Qualifications

Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.
- Experience programming in at least one of the following programming languages: C, C++, Java or Golang
- Effective communication skills and a sense of ownership and drive
- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc. for big data roles.
- Familiar with Java, C ++ and other programming languages for big data roles.
- Strong coding and trouble shooting ability

Preferred Qualifications:
- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus
- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.
- Experience programming in at least one of the following programming languages: C, C++, Java or Golang
- Effective communication skills and a sense of ownership and drive
- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc. for big data roles.
- Familiar with Java, C ++ and other programming languages for big data roles.
- Strong coding and trouble shooting ability

Preferred Qualifications:
- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus
- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment

About TikTok

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

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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Perks and Benefits

Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- On-Site Gym
- Long-Term Disability
- Short-Term Disability
- Virtual Fitness Classes
- Mental Health Benefits
Parental Benefits
- Adoption Assistance Program
- Family Support Resources
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(k) With Company Matching
- Performance Bonus
- Company Equity
Office Life and Perks
- Casual Dress
- Snacks
- On-Site Cafeteria
- Holiday Events
- Company Outings
- Some Meals Provided
- Happy Hours
- Pet-Friendly Office
Professional Development
- Promote from Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity And Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)