Founded in 2019, Glance is a consumer internet company that has created highly disruptive digital platforms including Glance and Roposo. Glance has redefined the way internet is consumed on the lock screen, removing the need for searching and downloading apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience. Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google and Mithril Capital. &nbsp;Glance Lock Screen: Glance is one of Asia’s largest lock screen platforms. It enables consumers to experience the internet on the lock screens of their smartphones. Glance's AI-powered personalization enables consumers to enjoy content, products, and services of their choice, all delivered in an intuitive and visually attractive format on the lock screen of their smartphones. In Septmeber 2021, Glance also launched Glance LIVE on lockscreen, ushering in the LIVE internet era.&nbsp;Roposo: Roposo is India’s first creator-driven live entertainment commerce platform. It brings together creators, shopping and entertainment in a single destination. On Roposo, consumers shop live with hundreds of creators and on pop stores, from leading brands, across categories. With a vision to power the creator economy, Roposo endeavors to deliver its creators a range of unique entrepreneurial opportunities, through live entertainment and commerce. &nbsp;

Glance

Machine Learning Engineer III

Glance is searching for a Machine Learning Engineer III to contribute to ML software solutions. Must-have skills include expertise in developing and implementing machine learning models, particularly in computer vision and 3D modeling, strong command-line Linux proficiency, and experience deploying machine learning models.

<div class="jobs-box__html-content jobs-description-content__text t-14 t-normal
 jobs-description-content__text--stretch" id="job-details" tabindex="-1">
 <h2 class="text-heading-large">
 About the job
 </h2>

 <div class="mt4">
 
 What you will be doing?Glance is looking for a Machine Learning Engineer.As an ML engineer you will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms and infrastructure. Day-to-day activities include: <ul><li>architecting and implementing end-to-end solutions for accelerating experimentation and model building,</li><li>creation of microservices and APIs for serving ML models and ML services,</li><li>designing and implementing potential products and proof-of-concepts,</li><li>deploying data solutions and pipelines to increase the efficiency of ML workflows,</li><li>working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products,</li><li>exploring and onboarding new platforms, technologies and algorithms,</li><li>managing project priorities, deadlines and deliverables.</li><li>Experience developing recommendation systems</li></ul>
We are looking for candidates with an enthusiasm for tackling audacious challenges, the ability to take ownership of end-to-end solutions, and a passion for elegance in deep problem solving.Basic Qualifications: <ul><li>Proven experience in developing and implementing machine learning models, particularly in the context of computer vision and 3D modelling.</li><li>Bachelor's degree in computer science, Mathematics, Statistics, or other analytical fields</li><li>Familiarity with 3D graphics software and frameworks such as Blender, Unity, or Unreal Engine.</li><li>Strong experience in advanced math and statistics</li><li>Excellent familiarity with command line linux environment</li><li>Able to understand various data structures and common methods in data transformation</li><li>Experience deploying machine learning models.</li><li>Thorough understanding of variety of machine learning techniques </li></ul>
Preferred Qualifications <ul><li>Bachelor’s or master's Degree or PhD that included coursework in statistics, machine learning.</li><li>Knowledge of geometry processing, mesh generation algorithms, and 3D reconstruction.</li><li>Understanding of photogrammetry and texture mapping.</li><li>Experience with being actively engaged in data science or other research-oriented position.</li><li>You would be comfortable collaborating with cross-functional teams.</li></ul>

 
 </div>
 </div>