Machine Learning Engineer III

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer Technology, Digital Platforms, AI/ML SoftwareIndustries

Requirements

Candidates should possess five or more years of experience as a Machine Learning Engineer, demonstrating a proven track record of delivering impactful machine learning solutions. A Bachelor’s, Master’s, or PhD degree in computer science, mathematics, statistics, or a related field is required.

Responsibilities

The Machine Learning Engineer will be responsible for contributing to the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions, collaborating closely with data scientists to build and support ML data pipelines, platforms, and infrastructure. Day-to-day tasks include architecting end-to-end solutions for accelerating experimentation and model building, creating microservices and APIs for serving ML models and services, designing and implementing potential products and proof-of-concepts, working with engineering, product, and newsroom teams to define and deploy new ML/AI products, exploring and onboarding new platforms, technologies, and algorithms, and managing project priorities, deadlines, and deliverables.

Skills

Machine Learning

ML pipelines

Model deployment

Microservices

API development

Data infrastructure

Experimentation platforms

Algorithms

ML/AI product development

Glance

Lock screen platform for personalized content

About Glance

Glance provides a unique digital experience by transforming the way users interact with their smartphones. Its main product, the Glance Lock Screen, allows users to access personalized content, products, and services directly from their lock screens, eliminating the need to search for apps. This is made possible through AI-powered personalization that curates content in an engaging format. Additionally, Glance has introduced Glance LIVE, which integrates live internet experiences into the lock screen. Another key offering is Roposo, a platform that combines live entertainment with shopping, allowing users to shop in real-time with creators. What sets Glance apart from competitors is its focus on delivering a seamless and visually appealing experience directly on the lock screen, as well as its commitment to supporting the creator economy through Roposo. The company's goal is to redefine internet consumption and empower creators while enhancing user engagement.

Bengaluru, IndiaHeadquarters

2019Year Founded

$379.4MTotal Funding

SERIES_DCompany Stage

Consumer Software, AI & Machine Learning, EntertainmentIndustries

1,001-5,000Employees

Benefits

Direct & Indirect Compensation

Employee Health Support

Caring for Families

Parental Leave

Core Hours

Generous Time Off Programs

Free and Discounted Products

4 hours/ Month Paid Volunteer Time

Risks

Privacy concerns may arise from AI-driven content personalization on lock screens.

U.S. market expansion faces competition from established players like Apple and Google.

Regulatory challenges in Indonesia could impact Roposo's live commerce integration.

Differentiation

Glance is the first 'screen zero' content delivery platform, redefining lock screen usage.

Roposo integrates live entertainment and commerce, pioneering creator-driven shopping experiences.

Glance's AI personalization delivers content directly to lock screens, enhancing user engagement.

Upsides

Glance's user base reached 300 million globally, showcasing rapid growth since 2019.

Roposo's expansion into Indonesia taps into a growing market for live video platforms.

Glance's partnerships with Verizon and Motorola facilitate U.S. market entry.

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