Applied Scientist, Search, E-Commerce Alliance

Applied Scientist, Search, E-Commerce Alliance
Location: Seattle

Employment Type: Regular

Job Code: A151424

Responsibilities

Work collaboratively with cross‑functional teams to develop and implement advanced machine learning algorithms to improve the search and recommendation systems.

Define the scope and design end‑to‑end machine learning models for search systems.

Analyze complex, large‑scale data to extract insights and identify potential areas where our search system can be improved.

Create, test, implement, and iterate on machine learning models to optimize search functions and improve the user experience.

Stay up‑to‑date with the latest developments in machine learning and search systems.

Present complex findings and algorithms to a non‑technical audience and influence decision‑making.

Follow strict data governance and privacy policies to ensure that user data is handled with the utmost care.

Qualifications
Minimum Qualifications

PhD, Master or Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.

Extensive experience in machine learning, deep learning, data mining, or artificial intelligence.

Strong programming skills in Python, C++, Java, GO, or similar.

Strong knowledge of search algorithms, information retrieval, and ranking systems.

Excellent problem‑solving and analytical skills.

Strong communication skills with the ability to explain complex concepts to a non‑technical audience.

Preferred Qualifications

Experience with Natural Language Processing (NLP) 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 engine, e‑commerce search systems.

Publication records in machine learning or related conferences or journals is a plus.

Job Information
The base salary range for this position in the selected city is $148,200 - $300,960 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).

EEO Statement
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:

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

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

Exercising sound judgment.

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 https://tinyurl.com/RA-request

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