Machine Learning II/III

Glance - An InMobi Group Company

Founded in 2019, Glance is a consumer technology company that operates disruptive digital

platforms including Glance, Roposo, and Nostra. Glances smart lock screen inspires consumers

to make the most of every moment by surfacing relevant experiences without the need for

searching and downloading apps. Glance Lock Screen is currently available on over 450 million

smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through

a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and

Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.

Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is

funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com,

nostra.gg, and roposo.com

What should you know about joining Glance?

At Glance, we walk the talk free yourself, dream big, and chase your passion! On joining, youll

have opportunities to make an immediate impact on mission-critical projects, as you work with

highly capable and ambitious peer groups.

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging

bleeding-edge tech to disrupt consumer experiences.

While you work, well take care of nourishing your body, mind, and soul. This includes daily meals,

gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids even the

furry ones to the office!

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:

architecting and implementing end-to-end solutions for accelerating experimentation and

model building,

creation of microservices and APIs for serving ML models and ML services,

designing and implementing potential products and proof-of-concepts,

working closely with engineering, product, and newsroom teams to define and deploy new

ML / AI products,

exploring and onboarding new platforms, technologies and algorithms,

managing project priorities, deadlines and deliverables.

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.

Preferred Qualifications:

Five+ years' experience working in a ML Engineering role with proven track record of

delivering high-impact ML solutions.

Bachelors degree, Masters or PhD in computer science, Mathematics, Statistics, or other

analytical fields

Demonstrated ability to own end-to-end project delivery while maintaining transparent

communication

Hands-on experience and strong theoretical understanding of Recommender Systems.

Experience working with Python, Golang, Spark or other open-source software with data

science libraries

Strong experience in advanced math and statistics

Excellence in technical documentation and project leadership, with proven ability to drive

results independently with cross-functional teams

Experience with being actively engaged in data science or other research-oriented position.