As an ML tech lead you will provide technical leadership for a growing team of machine learning engineers. The team is tasked with leading development on our model training and evaluation infrastructure. You will also take a leading role in development of a model training web application that provide optimized models and can be run by non-data scientist for use by both external and internal customers. You will work closely with data scientists to experiment on model architectures and take them to production. You’ll build, maintain and improve data processing pipelines that process billions of data points and petabytes of data

Bachelor’s in computer science or equivalent 5 years’ software development experience 5 years’ experience leading machine learning teams of 5-10 machine learning/deep learning engineers 5+ years’ experience running medium to large/complex projects with multiple internal / external dependencies Expertise in working with at least one deep learning framework, such as PyTorch, TensorFlow, Caffe. Experienced in working with ETL pipelines. Experience with deep learning vision networks, such as CNNs or transformers Experienced in cloud providers such as GCP or AWS Strong analytical and problem solving skills Ability to understand and execute on the company’s mission and values Maintain a high degree of ethical standard and trustworthiness Strong technical written and oral communication skills

7+ years’ software development experience 7+ years’ experience in leading machine learning teams Proficient in Python A track record for delivering Machine Learning projects for a product Excellent written and verbal communication skills Strong and proactive communication, natural curiosity. Ambition to apply skills to a wide variety of fields Familiarity with latest data engineering ecosystems and ideally has contacts within the industry. Be able and open to pick up new skills, work with 3rd party technologies and devices

All your information will be kept confidential according to EEO guidelines.