Manja Technologies Pte Ltd
Country : Singapore
  • Full-time

Senior Data Scientist (Machine Learning)

Life with ManjaLabs

If you like to solve big real-world problems, and see yourself as someone who challenges the norms of how things are done, you'll love the kind of problems we are working on. We are people who like to tinker, experiment and we love pushing the boundaries of what it takes to make things work. Just as much as we love playing with tech, we are just as serious when it comes to execution - with the kind of precision required to operate successful businesses with our partners.

Why join ManjaLabs?

Here at ManjaLabs, we create technologies and implement business models which the world has not seen. Leveraging on technological trends and breakthroughs, we develop products, platforms and business which revolutionizes industries. Join our cause, and be part of something truly special.

Responsibilities

  • Spearhead research in artificial intelligence and machine learning applications
  • Develop solutions for real world, large scale problems that can potentially touch millions of users
  • Inspire and mentor engineers and project teams for a broad range of ML experiments
  • Work closely with the product team to implement algorithms that push the boundaries of what can be done on consumer products
  • Switch comfortably between working independently and in a team, plus thrive in a dynamic environment
  • Foster excellence in quality of solutions and system scalability through continuous analysis and refinement

Requirements

  • MA/MS or PHD in Machine Learning, Computer Science, Statistics, Bioinformatics, or related field
  • A strong background in Natural Language Processing and Machine Learning applications
  • A good understanding of a broad range of traditional supervised and unsupervised techniques (e.g. logistic regression, SVMs, GBDTs, Random Forests, k-means and other clustering techniques, matrix factorization, LDA), as well as be up to date with latest ML advances (e.g. Deep Neural Networks, or non-parametric Bayesian methods).

Total applicants :5 Job posted 22 days ago Total Views : 185 Unique Views : 183 Today Views : 2


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