Senior Machine Learning Engineer Manager

Singapore, Singapore

Job Description

Get to know Grab Grab is more than just the leading ride-hailing in Southeast Asia. We use data and technology to improve everything from transportation, delivery, to financial services across the region for more than 600 million people. We work with Get to know Grab Grab is more than just the leading ride-hailing in Southeast Asia. We use data and technology to improve everything from transportation, delivery, to financial services across the region for more than 600 million people. We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia. Grab began as a taxi-hailing app in 2012. We have since extended to GrabCar, GrabShare, GrabBike, GrabHitch, GrabExpress, GrabFood, GrabFinancial, and so on. Our latest addition is GrabAds, a full service marketing platform. Currently, Grab offers services in 8 countries in Southeast Asia. The R&D offices are distributed across the region and in Beijing and Seattle as well. We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us. Get to know the team GrabAds is a recent addition to Grab's fast growing portfolio. GrabAds allows Advertisers, Agencies, and Merchants to engage consumers via beautiful online experiences. Through our unique ecosystem and transacting user base, our clients are able to reach their desired audiences at scale, while driving measurable business outcomes. We would want to invite passionate engineers to join our journey, to create value for our consumers, drivers, merchants, and advertising partners, while continuing to make everyday lives better across Southeast Asia. Get to know the role We are looking for a Senior Machine Learning (algorithmic) Manager to lead the Ads Ranking and Recommendation team. As a part of the Ads engineering management team, you will help shape the next chapter in our Ad Ranking and Recommendation algorithms and strategies, and guide a group of talented engineers in their career development. The day-to-day activities Provide technical guidance and input on the design and implementation of machine learning algorithms. Attract and retain talents. Guide and mentor machine learning engineers in their career development. Build and deliver machine learning algorithms to production with your team and product teams. Work with cross-functional teams and manage stakeholders throughout the business, help them to identify, understand opportunities and build roadmaps. Lead bi-annually planning and build a smooth execution plan with your team on securing the delivery of product and engineering roadmap. Drive company-wide engineering initiatives by collaborating effectively with senior leaders across the company by employing your mastery of technologies, communicating your ideas effectively and driving alignment with key stakeholders to create successful outcomes. Keep your teams, org structure and staffing aligned with business needs and quickly pivot teams to changing needs The must-haves A degree in computer science or equivalent with 6+ years experience in machine learning, deep learning and big data. Have experience in Ad Tech related to Ads ranking, prediction or bidding. Have experience managing machine learning engineers/data scientists and guiding their career development. Have experience working with product, design, and business to drive product developments and launches to production. Bring together a group of individuals from many different backgrounds and skill sets to form a cohesive team. Have a pragmatic, flexible approach, and care most about achieving impact for our consumers and partners. Possess strong communication skills and can communicate complex technical topics to technical and non-technical audiences effectively. A cultural role model with a strong sense of humility and empathy coupled with a bias for action and a passionate commitment to engineering excellence. Get to know the culture The Grab Principles capture the four underlying qualities expected of every Grabber. These are the 4 qualities that got Grab to where we are today and elements we want to preserve in our Grabbers going forward. Prospective Grabbers should possess all four qualities to qualify as a Grabber. Heart - We care for and serve our communities Hunger - We have the grit to do what it takes. Honor - We do the right thing and keep to our word. Humility - We are self-aware and constantly seek to improve.

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Job Detail

  • Job Id
    JD1199884
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned