DirectJobHub
Jobs · Analyst · California

Applied Scientist, Recommendation, E-Commerce Alliance

TikTok · San Jose, CA · 1 wk ago
On-siteAnalyst$162k–$317k/yrFull-time

About the role

The e-commerce alliance team aims to serve merchants and creators on the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

We are seeking an Applied Scientist to develop and implement innovative machine learning solutions for our recommendation systems in the E-Commerce business. The successful candidate will work closely with cross-functional teams, providing expert insight and influencing critical decision-making across multiple areas of our business.

Responsibilities

  • Collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our recommendation systems.
  • Utilize ML, NLP, and CV techniques to handle real-world signals generated from products, creators, merchants, e-commerce transactions, and more.
  • Design and deploy large recommendation models in an online learning manner to serve billions of queries and products.
  • Formulate end-to-end machine learning models for recommendation systems, ensuring their efficient and effective operation.
  • Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.
  • Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.
  • Stay abreast of the latest advances in machine learning and recommendation systems, integrating this knowledge into your work.
  • Clearly communicate complex technical concepts, methodologies, and results to a diverse audience, influencing decisions based on your findings.
  • Adhere to stringent data governance and privacy protocols, ensuring all user data is handled responsibly and ethically.

Qualifications

Minimum Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
  • Solid experience in machine learning, deep learning, data mining, or artificial intelligence.
  • Proficient in programming languages such as Python, C++, Java, or similar.
  • Deep understanding of recommendation algorithms and personalization systems.
  • Excellent problem-solving and analytical skills.
  • Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.

Preferred Qualifications

  • Experience with reinforcement learning techniques.
  • Proven modeling/algorithms competition records on Kaggle or top conferences’ challenges.
  • Proven programming competition records on ICPC, IOI, or USACO.
  • Experience working with recommendation systems, computational advertising, search engines, or E-commerce recommendation systems.
  • Publications in machine learning or related conferences or journals are highly desirable.

About TikTok

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

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make an impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We embrace challenges and foster an "Always Day 1" mindset to achieve meaningful breakthroughs for ourselves, our company, and our users.

Benefits

  • Day one access to medical, dental, and vision insurance.
  • 401(k) savings plan with company match.
  • Paid parental leave.
  • Short-term and long-term disability coverage.
  • Life insurance.
  • Wellbeing benefits.
  • 10 paid holidays per year.
  • 10 paid sick days per year.
  • 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

Pay

The base salary range for this position is $162,000 - $316,800 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location. Base pay is one part of the total package, which may also include additional discretionary bonuses/incentives and restricted stock units.

Similar jobs