About Pynea

Pynea is building a new collaborative social network - centered around people working together to grow and achieve their shared goals.

We're reimagining the social network built for professionals of all backgrounds to come together and create communities around economic opportunities, hobbies, and mutual interests.

About The Role

Pyne is collaborative, ambitious, and driven. They believe that the best products are built by teams that work together, challenge each other, and are committed to achieving a common goal. They encourage open communication, transparency, and feedback. Pynea values diversity, inclusivity, and creativity, and believe that every team member has something valuable to contribute. They are a young company with big ambitions, and are looking for someone who shares our passion for building something new and exciting. They believe that our success will be driven by our ability to attract and retain the best talent, and are committed to creating a work environment that is challenging, rewarding, and fulfilling. If you are excited about the opportunity to help build a new social media platform from the ground up, and if you are passionate about technology, deep learning, AI, product development, and building great teams, then we would love to hear from you.

What You’ll Do

• Develop, implement, and optimize machine learning models to support core Pynea features and services.
• Develop and deploy state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/Keras/ etc) in the Python ecosystem.
• Be deploying your models and making them accessible via API to be consumed by the Pynea backend.
• Tackle challenges related to user recommendation/matching, suspicious usage patterns, content discovery, tag mapping, and data categorization.
• Support and drive implementation of features around NLP.
• Analyze large and complex data sets to derive valuable insights that inform product development and business strategies.strategies.
  
  

What You’ll Bring

• Have 3+ years industry experience as a Machine Learning Engineer
• Care deeply about AI, Deep Learning and its ability to craft seamless product experiences with direct real world applications
• Experience with large distributed systems, deep learning, neural networks and/or natural language processing
• Strong problem-solving skills and ability to think algorithmically
• Excellent communication skills and can effectively collaborate with cross-functional teams.