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Machine Learning Engineer, TikTok Trust and Safety

Berlin
FULL TIME
1 Year

Negotiating the salary with the employer is an option since the salary is not publicly listed on the job posting. Although the vacancy is based in Berlin, the company may be willing to accept applications from candidates outside the area who possess the required skills. full time work offers a unique set of challenges and rewards - is that something you're looking for? The position of Machine Learning Engineer, TikTok Trust and Safety has become available since March 15, 2024 and will be closed on June 13, 2024. To be eligible for this job, you need to possess 12 months of work experience in the same field.

Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. 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.

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Join us. Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With our team's continuous efforts, TikTok can provide the best user experience and bring joy to everyone in the world. We are looking for excellent machine learning engineers who can take the initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. You will take pride in working with engineers, product managers, and business partners to identify and solve the most challenging safety and integrity problems on the internet scale. Responsibilities - What You'II Do

  • Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.
  • Deep understanding of TikTok moderation system and propose optimized method on current moderation system.
  • Collaborate with product teams to define business objectives and improve trust and safety strategy.
  • Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
  • Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.
Qualifications Minimum Qualifications:
  • BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
  • Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas
  • Strong coding skills, especially in Python and similar languages.
  • Curiosity towards new technologies andentrepreneurship, good communication and teamwork skills.
Preferred Qualifications:
  • Minimum of 1 year of related experience.
  • Experience in Large Language Models, multimodal modeling, Active learning, and Reinforcement learning.
  • Publications in top AI/ML conferences are a plus.
  • Understanding of the recommendation system or moderation system.
  • Experience in developing online ML systems including ranking, and retrieval.
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 https://shorturl.at/cdpT2
Job Information
The base salary range for this position in the selected city is $137750 - $237500 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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