Currently, we are looking for data scientsts with experience in enterprise scale deep learning, forecasting and decisioning model. You are an awesome problem solver who is both methodical and creative. You can learn any new technology, are not ashamed of admitting errors, love to take on new challenges, and a great team player. Strong algorithmic background is required and will be thoroughly evaluated. Strong at-scale experience building decisioning models using Deep Reinforcement Learning or other approaches is a must. Experience building large scale models with RNNs, CNNs and Gradient Boosting is desired but not required. Experience building and deploying high performance deep-learning models using either Tensorflow or PyTorch on significant complexity industrial/commercial data-sets is a must. Preference will be given to candidates with significant time-series modeling experience. Computer vision and NLP experience is a plus.
We'd love to chat if you have:
A PhD or MS in an analytical field such as CS, EE, Statistics, Math, or Physics, from a top 20 research university, along with a minimum 2 years industry experience building reference-able work.
Proficiency in Python and machine learning libraries such as Scikit-learn, Pandas, Tensorflow, PyTorch, etc
Demonstrated strong experience with deep learning
Experience deploying end-to-end ML models to production
Experience with time-series data analysis
Experience in software engineering
Quick learner, ability to learn independently
Comfortable with remote work and distributed team
Excellent written and oral communication skills
Extra Brownie Points:
Experience with Docker, and Kubernetes
"Big Data" solutions such as Spark, and Kafka
Experience with cloud environments such as AWS/GCP/Azure
If you want to get into the founding engineering team of one of the valley's top teams developing one of the most innovative and unique cloud AI services in multi-trillion USD industry sectors with massive global implications on the planet and humanity, you've found it and we would love to hear from you very soon.
Sound exciting? please submit your resume to firstname.lastname@example.org