Mediabistro logo
job logo

Research Scientist, Multimodal Machine Learning - Trust and Safety Job at Tik To

Tik Tok, San Jose, CA, United States


Responsibilities

Our Trust and Safety RD 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 people like you with solid experience in designing and deploying state-of-the-art models in the combination of NLP and CV related areas. This position will work with a team of excellent research scientist and machine learning engineer who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. Responsibilities - What You'II Do
• Work with team members to design next generation CV/NLP/Audio multimodality models
• Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains
• Work with engineering teams to implement model pipeline and deploy the service at scale
• Collaborate with product team to define objectives and improve trust and safety strategy
• Collaborate with data analyst to understand and find data patterns

Qualifications

Minimum Qualifications
• 3+ years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, Audio, content understanding or participating in large-scale online machine learning platforms are preferred
• Skilled in pre-training foundation technologies, including efficient training and pre-training as a service, downstream applications of NLP/CV/Video are preferred
• Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java.
• 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

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $136800 - $259200 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 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.

For 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:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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 Accommodation

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



In Summary: The Trust and Safety RD team is responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform . We are looking for people like you with solid experience in designing and deploying state-of-the-art models . The position will work with a team of excellent research scientist and machine learning engineer .

En Español: Nuestro equipo de R&D está creciendo rápidamente y es responsable de construir modelos y sistemas de aprendizaje automático para identificar y defender el abuso e fraude en Internet en nuestra plataforma. Responsabilidades - Lo que vas a hacer • Trabajar con los miembros del equipo para diseñar modelos de CV/NLP/Audio multimodalidad de la próxima generación • trabajar en clasificadores, modelos predictivos y algoritmos altamente escalables en minería de datos grandes, visión informática, NLP y otros dominios • Trabajo con equipos de ingeniería para implementar una tubería de modelo e implantar el servicio a escala • Colaborar con el equipo de producto para definir objetivos y mejorar la estrategia de confianza y seguridad • Colaborar con un analista de datos para entender y encontrar patrones de datos Calificaciones Qualificaciones mínimas • 3+ años de experiencia en uno o más de las áreas: comprensión automática, aprendizaje profundo, visión por computadora, PNL, Audio, contenidos o participar en plataformas de aprendizaje automático a gran escala se prefieren estructuras • Competenciado en tecnologías pre-tensores básicas, incluyendo capacitación eficaz y prevención de problemas como un servicio de datos Proch, aplicaciones de pago / Video. La compensación puede variar fuera de este rango dependiendo de varios factores, incluidas las calificaciones, habilidades, competencias y experiencia del candidato y la ubicación. El salario básico es una parte del paquete total que se proporciona para compensar y reconocer a los empleados por su trabajo, entre otros, y esta función puede ser elegible para bonos / incentivos discrecionales adicionales y unidades de acciones restringidas. Los beneficios pueden variar según la naturaleza del empleo y el lugar de trabajo del país. En TikTok, nuestra misión es inspirar la creatividad y traer alegría. La sede global de TikTok está en Los Ángeles y Singapur, y también tenemos oficinas en Nueva York City, Londres, Dublín, París, Berlín, Dubai, Jakarta, Seúl y Tokio. Por qué unirse a nosotros Inspirando la creativitad es el núcleo de los desafíos de TikTok. Nuestro producto innovador se ha construido para ayudar a las personas a expresarse auténticamente, descubrir y conectarse -y crear equipos globales y diversos que sean posibles. Juntos, cuando creamos nuestras comunidades, crecemos y trabajamos juntos, nos esforzamos por lograr una creatividade e inspiración cada día con nuestros usuarios. Diversidad e Inclusión TikTok se compromete a crear un espacio inclusivo donde los empleados sean valorados por sus habilidades, experiencias y perspectivas únicas. Nuestra plataforma conecta personas de todo el mundo y también nuestro lugar de trabajo. En TikTok, nuestra misión es inspirar la creatividad y traer alegría. Para lograr ese objetivo, estamos comprometidos con celebrar nuestras diversas voces y crear un entorno que refleje las muchas comunidades a las que alcanzamos. Estamos apasionados de esto y esperamos que tú lo seas también.