Senior Search & NLP ML Engineer

Posted 2 Days Ago
Be an Early Applicant
İstanbul, Şişli, İstanbul
Mid level
Information Technology • Software
The Role
The Senior Search & NLP ML Engineer will improve AI-driven search and recommendation systems within AppGallery, engaging with stakeholders to understand business needs, designing scalable ML services, deploying them in production, and evaluating model performance. Collaboration with multinational teams and contribution to academic outputs are also key responsibilities.
Summary Generated by Built In

Description

We're looking for an experienced research engineer to work within AppGallery Search & Recommendation projects.

AppGallery is a package manager and application distribution platform, or marketplace 'app store', developed by Huawei for the Android operating system. AppGallery is used by 400+ million active users on 700+ million Huawei devices. Our team in Turkey is responsible for improving the AI driven search & recommendation capabilities of the application for the Asia, Africa, Latin America, Europe and Russia markets.

What can you expect in this role?

As a part of our research team you'll work with talented researchers and developers at every level to improve our search and recommendation solutions within AppGallery. This role allows you to directly affect user experience of millions of AppGallery users.

You'll have a chance to thrive in a multinational environment where you can work closely with other colleagues from China, Singapore and Ireland teams. Within this role you can expect to carry out following tasks;

  • Working with stakeholders to understand business problems,
  • Design and build scalable ML services on Huawei's MLOps platform to address business requirements,
  • Deploy ML services to production at scale considering resource constraints,
  • Monitoring models to evaluate and improve services online,
  • Play an active role in suggesting, collecting, and preprocessing the data necessary to train the ML models and evaluate performance,
  • Consult with the other teams to determine the requirements and formalize the possible ML research directions,
  • Produce academic outputs in the form of papers, patents, and technical talks.

What are the qualifications to fit the role?

A comprehensive and proven capability in at least one of the following fields;

  1. Search Engine Optimization & Retrieval and Ranking
  2. Natural Language Processing
  3. Recommender Systems
  4. Expert in Data Science, Machine Learning, Deep Learning.

- Strong Python programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.

- Minimum MS degree or PHD degree, preferably in a computer science & engineering or related fields.

- Minimum 3 years of experience preferably in industry.

- Java service development experience using Spring and related topics & technologies is a plus (RESTful services, Redis, ElasticSearch, RDBMS)

- Publication records in top journals or conferences related with NLP, IR, RecSys and Search domains will be a plus.

- Previous project experience in search or recommendation systems domain is a big plus.

- Fluency in English is important, reading/writing skills in Russian and/or Arabic is a plus.

Am i right for the team?

If you're excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data, you can be perfect fit for the task at hand.

If you're easy to communicate, open for suggestions and improvements, can work independently, pro-actively and well aligned then you can be perfect fit for our team culture.

Top Skills

Java
Python
The Company
Bellevue, WA
168,766 Employees
On-site Workplace

What We Do

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

House Rules
This page is for ICT professionals with an interest in Huawei and our industry to engage in open discussions.
To facilitate dialogue, please follow these rules:
- Huawei holds the right to delete comments that are offensive, misleading, false, unlawful, off-topic and in violation of any regulations.
- Repeated violations of any of the above will be removed and users may be blocked.
- Huawei does not necessarily endorse the information shared by members.
- Please be familiar with and follow LinkedIn's User Agreement.
- By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited.

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