Applied Scientist, Search, E-Commerce Alliance

Applied Scientist, Search, E-Commerce Alliance

Location:

Seattle

Employment Type:

Regular

Job Code: A151424

• 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 to 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.

• PhD, Master or Bachelor's degree in Computer Science, Statistics, Mathematics, or 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.

• 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.

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.

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).

For Los Angeles County (unincorporated) Candidates: