Machine Learning Engineer - Search Recommendation (E-commerce)

Posted 20 Hours Ago
Be an Early Applicant
Singapore
Mid level
Artificial Intelligence • Cloud • Fintech • Healthtech • Biotech
The Role
The Machine Learning Engineer will enhance search recommendation services for E-commerce, optimizing models and systems at scale. Responsibilities include improving user engagement through advanced recommendation and NLP technologies, as well as participating in various machine learning workflows.
Summary Generated by Built In

Description

Responsibilities

- Elevate search recommendation services and models for E-commerce, driving heightened e-commerce search traffic, while enhancing user search and purchasing cognition.

- Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.

- Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.

Requirements

Qualifications

Minimum Qualifications

- Bachelor or advanced degree in computer science or a related technical discipline.

- Excellent coding skills. Solid knowledge of data structure and algorithms.

- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

- Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.

Preferred Qualifications

- 3+ years of machine learning experience

- Good product sense with a focus on user experience.

- Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.

Top Skills

Machine Learning
Natural Language Processing
The Company
HQ: San Jose, CA
55 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

We are HireIO, the Workforce Solutions Provider who tomorrow’s tech giants count on to be connected with today’s tech genius. We help create an impact on the tech community by partnering with teams and professionals who specialize in FinTech, Cloud/SaaS, healthcare, biotech, A.I., and any emerging technologies, to grow from new opportunities and support equal opportunity

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