Senior Machine Learning Engineer, Lemon8 Recommendation

Company:  TikTok
Location: San Jose
Closing Date: 07/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Responsibilities

Lemon8 is a lifestyle content community featuring photos and videos of various categories such as beauty, fashion, food, travel, home, fitness, and pets. Our target users are people who enjoy exploring their interests by consuming informative and high-quality content. Lemon8 currently operates in Japan, the SEA region (Thailand, Indonesia, Malaysia, Singapore, Philippines and Vietnam), the UK and the US.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

Team Introduction
Welcome to the team, where our team of Machine Learning Engineers is dedicated to delivering personalized experiences to over 10 million monthly users worldwide. We believe in helping our users live their best lives through innovative solutions tailored to their needs. While our team may be small, we are mighty and continuously expanding. Joining us means gaining access to an incredible wealth of data and the opportunity to contribute to large-scale recommendation systems in ways rarely found elsewhere.

Responsibilities
- Utilize cutting-edge deep learning and machine learning technologies to enhance and personalize the Lemon8 user experience.
- Collaborate closely with the Lemon8 product and operations teams to experiment with and refine ML models across various product surfaces, gaining insights into how ML can optimize different areas.
- Apply data-driven methodologies and leverage unique data properties to continuously improve user engagement and consumption experiences.
- Operate in a high-impact environment with rapid experimentation cycles and swift deployment of experimental results.
- Stay current with industry trends and advancements in recommendation systems to ensure Lemon8 remains at the forefront of technology.

Qualifications

Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience.
- 4 years of industry experience applying machine learning methods in areas such as recommender systems, ads ranking, reinforcement learning, or graph representation learning.
- Strong understanding of machine learning approaches and algorithms.
- Proficiency with big data technologies such as Hive, Hadoop, and Spark.
- Hands-on experience in building data processing pipelines and large-scale machine learning systems.

Preferred Qualifications
- Master’s or Ph.D. degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
- Previous experience building end-to-end machine learning systems.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at Information:

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $133843 - $330764 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.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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