Come join a team of industry and science leaders to achieve a vision of empowering innovation through state-of-the-art artificial intelligence leveraging multiple cloud technologies. We are addressing exciting challenges for our customers, at the intersection of AI/ML and cutting-edge cloud infrastructure.
This internship provides an opportunity for students who are currently pursuing an MS or Ph.D. degree in Computer Science and Engineering, Electronics Engineering, Industrial Engineering, Physics, Mathematics, etc. with a background focused on Deep Learning, to get hands-on experience working with scientists and engineers in a startup that creates and delivers cutting-edge innovations for reshaping AI development and consumption.
Interns will be mentored and supervised by our talented AI/ML engineers and scientists and will receive the great experience necessary to fulfill the curriculum requirements of the educational institution providing credit. Our work environment is positive, productive, and full of learning opportunities for entering the workforce and starting a career in AI. You will have a great opportunity for professional development by working in a dynamic startup and expanding your knowledge with challenging AI projects in many industries.
What you will do:
-
Research and develop innovative AI/ML models and algorithms as state-of-art solutions for challenging problems that will affect future aiXplain products
-
Collaborate in building state-of-the-art AI/ML solutions for business problems using various open source and machine learning principles and techniques
-
Collaborate with broader teams across aiXplain to deploy AI/ML solutions into production and build the pipeline for managing the life-cycle of AI/ML products
-
Present effectively, highly technical, and complex solutions and architectures
Your Qualifications are:
-
Organized, self-starter, resourceful, takes initiative, and likes challenges
-
Someone who wants to learn a lot while having fun and growing with us
-
Passionate about building extraordinary products using AI technologies
-
MSc-Level Research Experience in AI, Machine-Learning, Deep Learning, Computer Vision, Natural Language Processing, Speech Recognition, etc.
-
Publications in Top-Tier AI/ML Conferences (such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, ACL, EMNLP, ICASSP, AAAI, SIGGRAPH, etc)
-
Open-Source Projects or Contributions in Github. Kaggle Achievements
-
Excellence in Deep Learning Frameworks: PyTorch, TensorFlow 2.0, Trax
-
Experience in Unsupervised, Semi-Supervised and Self-Supervised Learning
-
Excellence in Building Convolutional, Recurrent, Variational, Generative and Transformer Architectures for both Image and Time-Series Datasets
-
Experience in Natural Language Processing, Understanding or Generation for Recommendation, Translation, Question-Answering, and Chatbot Systems
-
Experience in Variational, Adversarial and Flows-based Generative Models
-
Experience in working with Tabular-Data using XGBoost, LightGBM, etc.
-
Experience in Real-Time, Multi-threaded OOP via Python, C++, and Java
-
Experience in Creating Back-End Software using SQL/NoSQL Databases
-
Experience in MLOps on Cloud Platforms (AWS, Azure, and Google Cloud)
-
Experience in Hyperparameter Optimization Frameworks e.g. Ray Tune
-
Knowledge in Probabilistic Neural Networks (using GPyTorch, Pyro, etc)
-
Knowledge in AutoML Tools and Frameworks e.g. for Feature Generation
-
Familiarity in MLOps (Kubeflow, MLflow, etc) and Big-Data Frameworks
-
Familiarity in (Deep) Reinforcement Learning or Graph Neural Networks