Senior Machine Learning Engineer at Atomwise
San Francisco, CA, US
We are looking for a senior machine learning engineer to help develop our core ML algorithms and software tools to solve challenging questions in drug discovery research. You will develop, extend, and analyze new deep learning algorithms, as well as design and build data infrastructure and tools to manage, automate, and evaluate performance at scale.

Required Qualifications:

Ph.D. or M.Sc. in computer science, statistics, or related field, or equivalent practical experience
5+ years of extensive practical experience and proven track record of developing, implementing, debugging, and extending machine learning algorithms
Strong software engineering skills and coding expertise in at least one high-level programming language (Python, R, Java, C/C++, etc.)
Experience developing data infrastructure and tools and familiarity with large-scale data processing technologies
Proficiency with the Linux environment
Strong analytical and quantitative skills
Preferred Qualifications:

Knowledge of modern neural network frameworks such as Tensorflow, Torch, or Theano
Experience with cloud computing environments (AWS/Azure/GCE)
GPU programming using CUDA
Some biomedical knowledge or experience in processing chemical or biological data is preferred but not required