Staff Machine Learning Engineer

JR United Kingdom; Slough; Remote; GBP 70,000 - 100,000; Full time

Job summary

A major player in the AI landscape is seeking a Staff ML Engineer to advance their personalization capabilities for 300+ million users. The ideal candidate will have a deep understanding of machine learning algorithms, experience with large-scale systems, and the ability to lead teams in building cutting-edge recommendation systems. Join at a pivotal time to shape the future of user interactions in the digital space!

Benefits

ESOPs

Remote working

Monthly childcare allowance for women employees

Insurance coverage

Qualifications

• 8+ years of experience in machine learning and AI.
• Hands-on experience with large-scale systems.
• Relevant publications in top-tier applied machine learning conferences is a plus.

Responsibilities

• Lead the ML efforts around improving personalization models.
• Develop systems that serve recommendations to over 300 million users.
• Drive architectural strategy and design for complex ML systems.

Skills

Deep Learning

Personalization

Machine Learning Algorithms

Feed Ranking

Data Engineering

Education

Master’s or PhD in ML, Statistics, or Engineering

Tools

TensorFlow

PyTorch

Job description

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ShareChat (https://sharechat.com/about) is India's largest homegrown social media company, with 325+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours in 2020. It's just another way we, as a team, turn ideas into reality, and you can do it too!

Founded in October 2015, with a vision of building an inclusive community that encourages & empowers each individual to share their unique journey and valuable experiences with confidence. We are spearheading India's internet revolution by building products through world-class AI & tech to evangelize the content ecosystem for India in regional languages.

We believe in complete ownership of problem-solving while committing to speed and integrity in everything we do. We place the utmost importance on user empathy & strive to work towards creating a world-class experience for them every day. Join us to drive how the next billion users will interact on the internet!

What does the team do?

Serving recommendations to 300 million users entails developing large scale personalization and recommendation models that not only understand user needs and preferences, but also help 100 million+ creators grow their audiences on our platforms. A subset of the problems we tackle include:

• Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization.
• Nurturing our content and creator ecosystem, and developing models for strategic content valuation.
• Multi-objective balancing and long term measurement.

We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation.

AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. Click here to learn.

Learn from our CEO Ankush about our culture, innovation and growth. Click here.

What You’ll Do?

Within the Sharechat AI team, we are looking for an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading efforts across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems, and act as a subject matter expert in the recommender systems and ML ranking domains.

You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace.

Who are you?

• Design and help develop systems that serve recommendations to over 300 million users
• Drive ML roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems
• Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics
• Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders

Preferred Qualifications

• Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch
• Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines
• Deep understanding of the mathematical foundations of Machine Learning algorithms
• Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations.
• You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus
• You have a Master’s or PhD in ML, statistics, or an engineering field with 8+ years of experience

Where you’ll be?

Fully remote within the UK or a European time zone.

Know more about us:

• AI @ ShareChat | AI Projects @ ShareChat/
• Our Blog

What's in it for you?

At ShareChat, our values - Ownership, Speed, User Empathy, Integrity, and First Principles - are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development. We also offer several benefits to our employees - like ESOPs, remote working, monthly childcare allowance for women employees, insurance coverage, and more.