Machine Learning Engineer - Trust and Safety, NLP

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Company: Tiktok

Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

Our Trust and Safety engineering team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for excellent machine learning engineers who can take initiatives, 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. And you will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale.

Responsibilities - What You’II Do • Lead and build the trust and safety machine learning production models • Work on text classifiers, multi-lingual models, sentiment analysis models, intent classifiers, speech recognition models, etc. • Work with engineering teams to implement model pipeline and deploy the service at scale • Collaborate with product teams to define objectives and improve trust and safety strategy • Collaborate with data analysts to understand and find data patterns Qualifications Qualifications • This opening is for both junior level and senior level. Minimum requirement is a BS degree with 2+ years’ industrial experience, or a MS/PhD degree with 1+ years’ relevant experience • Hands on experience in one or more of the areas: language modeling, text classification, multi-lingual modeling, sentiment analysis, ASR, knowledge graph, or multi-modal modeling • Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms • Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems • Experience in trust and safety and/or publications in top conferences are plus

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