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Engineering Manager, Machine Learning

SpringCube

Full time - Manager

Social Networking & Media

Singapore ( Onsite )

Published 1 month ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

This company is a leading destination for short-form mobile video. Their mission is to inspire creativity and bring joy. Their global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Job Description

Engineering Manager, Machine Learning

Responsibilities

Why Join Us

Creation is the core of this company’s purpose. Their products are built to help imaginations thrive. This is doubly true of the teams that make their innovations possible. Together, they inspire creativity and enrich life – a mission they aim towards achieving every day. To them, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At this company, they create together and grow together. That’s how they drive impact-for themselves, their company, and the users they serve. Join them.

About the Team

The Business Risk Integrated Control (BRIC) team is missioned to:

  • Protect users from abusive behaviors and activities, including fake accounts, social spam, growth fraud, etc.;
  • Secure platform health and community experience authenticity, for content consumers, creators, advertisers and beyond;
  • Build infrastructures, platforms, and technologies, and collaborate with many cross-functional teams and stakeholders to improve the healthiness and transparency of the platform.

The BRIC team works to minimize the damage of inauthentic behaviors on platforms (e.g., video platform, video editor, collaboration tool), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.

In this team you’ll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Their challenges are not some regular day-to-day technical puzzles — You’ll be part of a team that’s developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.

Responsibilities

  • Establish and enhance risk defense strategy, operational excellence, plus technical roadmap of a risk domain of the products/platforms (e.g., fake accounts detection, social spam, financial fraud, etc.).
  • Own end-to-end risk defense business results of the given risk area, drive planning and execution, win trust from internal stakeholders and external users.
  • Within the given managerial scope, uplevel engineering excellence and culture, support career growth of engineers and data scientists, deepen XFN collaboration, empower the team for long term success.

Qualifications

Minimum Qualifications

  • Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
  • Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
  • Familiarity with data mining, data science, machine learning or finance/social platform risk defense. Bonus given if possessing at least one advantage among risk control, data science, machine learning, risk engine, realtime computing.
  • Strong ownership; proactive, skillful, candid and clear communication; ability to handle high complexity, urgency, cross-functional alignment; stay empathetic and calm;

Preferred Qualifications

  • 4 years of technical leadership experience in relevant industry jobs.
  • 2 years of software engineering or data science managerial experience in relevant industry jobs.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.