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For Companies At a Glance
- Tasks: Develop and optimise machine learning models for user recommendations.
- Company: Join ShareChat, India's largest homegrown social media platform with over 325 million users.
- Benefits: Enjoy flexible work options and a vibrant company culture focused on innovation.
- Why this job: Be part of a team revolutionising India's internet experience through cutting-edge AI technology.
- Qualifications: Experience in machine learning and a passion for problem-solving are essential.
- Other info: Opportunity to impact millions and shape the future of social media in India.
The predicted salary is between 43200 - 72000 £ per year.
Who are we and What do we do?
ShareChat 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. 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 preferences but also enhance their overall experience.
Staff Machine Learning Engineer employer: ShareChat
Contact Detail:
ShareChat Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI, especially those relevant to social media platforms. Understanding how these technologies can enhance user experience will give you an edge during discussions.
✨Tip Number 2
Engage with the ShareChat community on social media. This will not only help you understand their culture and values but also demonstrate your genuine interest in the company when you discuss it during interviews.
✨Tip Number 3
Prepare to showcase your problem-solving skills through real-world examples. Think of specific challenges you've faced in previous roles and how you applied machine learning techniques to overcome them.
✨Tip Number 4
Network with current employees or alumni who work at ShareChat. They can provide valuable insights into the company culture and the expectations for the Staff Machine Learning Engineer role, which can be beneficial for your application.
We think you need these skills to ace Staff Machine Learning Engineer
Some tips for your application 🫡
Understand the Company: Familiarise yourself with ShareChat's mission and values. Highlight how your personal values align with their vision of building an inclusive community and enhancing user experience.
Tailor Your CV: Make sure your CV reflects your experience in machine learning and AI. Emphasise any projects or roles that demonstrate your ability to develop large-scale models and your understanding of user empathy.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and social media. Discuss specific experiences where you've solved complex problems and how you can contribute to ShareChat's goals.
Highlight Relevant Skills: In your application, clearly outline your technical skills relevant to the role, such as programming languages, frameworks, and tools you are proficient in. Provide examples of how you've applied these skills in previous roles.
How to prepare for a job interview at ShareChat
✨Understand the Company Culture
Before your interview, take some time to research ShareChat's values and mission. Understanding their focus on user empathy and community building will help you align your answers with what they value most.
✨Showcase Your Technical Skills
As a Staff Machine Learning Engineer, you'll need to demonstrate your expertise in developing large-scale models. Be prepared to discuss specific projects you've worked on, the technologies you used, and the impact of your work.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically, as this will showcase your ownership of challenges and your commitment to finding effective solutions.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team’s current projects or future goals. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
