Machine Learning Engineer, Sense Street

• Demonstrable ML experience (either through MSc or PhD or relevant industry experience)
• Good programming skills, especially with Python and familiarity with Pandas, PyTorch
• Proven track-record of end-to-end design for ML systems
• Experience with Linux systems as everything we do is basically on Linux VMs
• Extensive background in using and developing deep learning methods
• Substantial understanding of deep learning methods and breadth of knowledge of different models and their potential applications
• Interest for text and language tasks
• Communicate and collaborate effectively across multiple teams
• Are an analytical problem-solver
• Cooperate well with other professionals of different backgrounds
• See the inherent value in a respectful and diverse workplace
• Ability to read and understand latest research, and adapt these ideas into our work

Desirable

• As an experienced ML Engineer in the Data Science team, you will part of an innovative team of machine learning scientists, engineers, domain experts, and annotators
• Here you will have the opportunity to prototype novel methods for dialogue data that are not widely available, and to contribute to the development of cutting-edge models, while productionising product in the financial domain
• You will gain experience of company and culture creation in the scaling stages of our start-up journey
• Provide scientific depth in a data science team including ML and NLU scientists and linguists
• Design new ML tasks from raw data through new ML methods to finalised products that will be used by our customers
• Collaborate with product, annotation team, and engineers to drive process around ML pipeline
• Drive innovation on tasks that are in a specialised domain and do not conform to standard NLP tasks
• Think creatively and innovatively to produce effective models