Tensorflow jobs

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’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, you’ll 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, we’ll 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.

What You Will Be Doing?

• Develop and deploy machine learning models with a focus on quick, reliable experimentation to validate features and hypotheses. Our team values speed and quality in experimentation.

• Assist in building and maintaining machine learning pipelines, aiding in tasks such as data preparation, model training, and evaluation.

• Collaborate closely with Designers, UX Researchers, Product Managers, and Software Engineers to contribute to the integration of machine learning solutions into Glance's products.

• Monitor the health and performance of machine learning models, using statistical methods to ensure their effectiveness.

• Conduct preliminary research and development in machine learning techniques to enhance Glance's product capabilities.

Basic Qualifications

• Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related technical field with 4+ years of relevant industry experience OR

• Master's degree in a related technical field with 3+ year of relevant industry experience.

• Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Basic understanding of statistics as applied to machine learning, including probability theory and hypothesis testing.

• Demonstrable ability to contribute to machine learning projects, either in a work setting or via academic coursework.

Preferred Qualifications

• Strong focus on quick, trustworthy experimentation to validate machine learning models and hypotheses.

• Significant Plus: Hands-on experience or strong theoretical understanding of Recommender Systems is highly valued by our team.

• Basic understanding of data management and storage solutions like SQL databases is a plus.

• Excellent communication skills, with the ability to convey technical concepts effectively to a non-technical audience.

"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email."