Senior Machine Learning Engineer

Temporarily WFH due to COVID-19 • Chennai, India

Location:  Chennai, India.  Work from home flexible but individuals must be eligible to work in Chennai, India without sponsorship

Job Type

Full-time

ABOUT INSPIRE:

Inspire is the largest and fastest-growing health-based social networking company in the world with over 10 million users. This role will work on building recommendation systems and NLP models to personalize content and recommend relevant posts for members on Inspire’s platform both on the web and our iOS app. You will be building models on large real-world data sets containing tens of millions of social media posts, text data, healthcare information, and user behavior data points. Your role will also include deploying ML models and iterating them based on A/B test results. If this role interests you, apply below!

WHAT YOU WILL BE DOING:

This role will focus on personalization and recommendations.  In this role you will: 

  • Building recommendation systems to recommend posts to members based on their user behavior, viewing history, and interests
  • Build deep learning language models to understand text data for classification tasks and for recommender system features
  • Build, deploy, and maintain deep learning models using Amazon Sagemaker
  • Work with the team to come up with innovative ideas and experiments to increase user satisfaction, engagement, and retention to use in personalization models
  • Follow the latest developments in machine learning, recommender systems, NLP, and data science research to inform the management of new opportunities

Requirements

WHAT WE NEED:

  • Minimum 3+ years experience building deep learning NLP models for classification using Python
  • Experience in deploying ML, NLP, and/or recommendation system models in a cloud platform such as AWS, GCP, or Azure 
  • Experience building recommendation systems using collaborative filtering and deep neural nets
  • Experienced using deep learning frameworks such as Tensorflow
  • Experience using methods and techniques in NLP such as transfer learning, hyperparameter tuning, and data augmentation
  • Experience working with NLP embedding models such as word2vec and BERT
  • Experience working in a cloud platform such as Amazon Web Services
  • Experience working with CI/CD pipeline is a strong plus

Full time employees are eligible for:

  • Competitive salary and benefits
  • Quarterly performance bonus
  • Health insurance
  • Flexible Time Off policy