Tik Tok is hiring : Machine Learning Engineer - E-commerce Merchant and Creator G

Responsibilities

Our Team Supply Side Algorithms Our team is committed to expanding the number of merchants and creators on TikTok Shop, as well as providing them with comprehensive support to foster growth within the TikTok Shop ecosystem. We achieve this by developing end-to-end algorithmic capabilities utilizing machine learning, data mining, and causal inference methodologies. We are seeking a talented and motivated Machine Learning Engineer with expertise in marketplace growth to join our dynamic and fast-paced team. In this role, you will collaborate with cross-functional teams including data scientists, product managers, and business stakeholders to develop innovative solutions that drive the growth of merchants and creators in TikTok Shop. Responsibilities 1. Utilize advanced machine learning techniques to analyze large-scale datasets and identify meaningful, correlations, and causal relations related to merchant and creator growth in TikTok Shop 2. Collaborate with business stakeholders, product managers, and data scientists to define data mining objectives and develop strategies to address complex business problems and opportunities. 3. Apply feature engineering techniques to derive relevant features and embeddings from raw data and improve the performance of machine learning models. 4. Develop scalable and efficient data pipelines to preprocess and transform data for machine learning tasks, ensuring data quality, consistency, and availability. 5. Evaluate and benchmark different machine learning approaches, algorithms, and tools, and recommend the most appropriate solutions based on performance, scalability, and interpretability. 6. Stay updated with the latest advancements in data mining, machine learning, and related fields, and apply this knowledge to enhance the team's capabilities and identify new opportunities. 7. Communicate findings, insights, and technical concepts effectively to both technical and non-technical stakeholders, fostering a collaborative and data-driven decision-making culture.

Qualifications

Minimum Qualifications 1. Highly self-motivated to drive business growth and foster technical advancement. 2. Proficient in using SQL and Python and experience with data manipulation 3. Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing for efficient data mining on large-scale datasets. 4. Solid understanding of machine / deep learning concepts and techniques, including feature engineering, model evaluation, and optimization. 5. Strong analytical and problem-solving skills, with a demonstrated ability to handle and derive insights from complex and unstructured datasets. Preferred Qualifications : 1. Master's or advanced degree in Computer Science, Data Science, Statistics, or a related field. 2. 3+ years experience as a Machine Learning Engineer, Data Scientist, and experience in causal machine learning is preferred 3. Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms or related fields is preferred. 4. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $136800 - $359720 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 : Our team is committed to expanding the number of merchants and creators on TikTok Shop . We achieve this by developing end-to-end algorithmic capabilities utilizing machine learning, data mining, and causal inference methodologies . We are seeking a talented and motivated Machine Learning Engineer with expertise in marketplace growth .

En Español : Nuestro equipo está comprometido a expandir el número de comerciantes y creadores en TikTok Shop, así como proporcionarles apoyo integral para fomentar el crecimiento dentro del ecosistema de TikTok Shop. Lo logramos desarrollando capacidades algorítmicas de extremo a extremo utilizando el aprendizaje automático, la minería de datos y las metodologías de inferencia causal. Buscamos un ingeniero de Machine Learning talentoso y motivado con experiencia en crecimiento de mercado para unirse a nuestro dinámico y acelerado equipo. En este papel, colaborará con equipos interfuncionales que incluyen científicos de datos, gerentes de productos y actores empresariales de TikTok para encontrar soluciones innovadoras que impulsen el proceso de creadores y vendedores en TikTok Store. Evaluar y comparar diferentes enfoques, algoritmos y herramientas de aprendizaje automático y recomendar las soluciones más adecuadas basadas en el rendimiento, la escalabilidad e interpretación. 6. Mantenerse actualizado con los últimos avances en minería de datos, aprendizaje de máquinas y campos relacionados, y aplicar este conocimiento para mejorar las capacidades del equipo e identificar nuevas oportunidades. 7. Comunicar resultados, ideas y conceptos técnicos eficazmente tanto a partes interesadas técnicas como no técnicas, fomentando una cultura de toma de decisiones colaborativa y basada en datos. Qualificaciones Cualificaciones mínimas 1. altamente auto-motivados para impulsar el crecimiento empresarial y fomentar el avance técnico. 2. Proficientes en el uso de SQL y Python y experiencia con la manipulación 3. Experiencia con grandes marcos de procesamiento de datos (por ejemplo, Hadoop, FICK) y habilidades demostradas para distribuir datos eficientes sobre conjuntos de datos sólidos. 4. Comprender un modelo avanzados de ingeniería de computadoras o sistemas informáticos. 4. Excelentes habilidades de comunicación y colaboración, con la capacidad de trabajar eficazmente en equipos interfuncionales y transmitir conceptos técnicos a las partes interesadas no técnicas. Información sobre el trabajo [Para transparencia salarial] Descripción de compensación ( anualmente) El rango de salario básico para este puesto en la ciudad seleccionada es de $136800 - $359720 al año. La remuneración puede variar fuera de este rango dependiendo de una serie de factores, incluidas las calificaciones, habilidades, competencias y experiencia del candidato y ubicación. Para el Condado de Los Ángeles (no incorporados) Candidatos : los solicitantes calificados con antecedentes de arresto o condenación se considerarán para un empleo de acuerdo con todas las leyes federales, estatales y locales, incluida la Ordenanza sobre oportunidades justas para empleadores del condado de los Angeles y la Ley de Fair Chance en California. Lideramos con curiosidad, humildad y deseo de tener un impacto en una empresa tecnológica que crece rápidamente. Cada desafío es una oportunidad para aprender e innovar como un equipo. Somos resilientes y aceptamos los retos a medida que vienen. Al iterar constantemente y fomentar la mentalidad "Always Day 1" logramos avances significativos para nosotros mismos, nuestra compañía y nuestros usuarios. Cuando creamos y crecemos juntos, las posibilidades son ilimitadas. Únete a nosotros. Diversity & Inclusion TikTok se compromete a crear un espacio inclusivo donde los empleados sean valorados por sus experiencias y perspectivas únicas. Nuestra plataforma conecta personas de todo el mundo y también nuestro lugar de trabajo. En TikTok, nuestra misión es lograr creatividad y alegría. Para alcanzar ese objetivo, estamos comprometidos a llegar a nuestras voces diversas y crear un entorno adecuado.