Senior Machine Learning Engineer

 

What you’ll do:

- Design, train and deploy machine learning and/or natural language understanding models

-  Implement new features related to machine learning and engineer real-time data pipelines to incorporate them into the company’s models

-  Apply research and existing academic work to real-life problems

-  Write production quality code, scale solutions for high-throughput and low-latency requirements

-  Implement model observability and system performance

-  Collaborate with product, design and user research partners as well as the data engineers to design and architect innovative machine learning         solutions to improve the customer experience

 

 

What you offer:

-  3+ years of experience as machine learning engineer or applied machine learning scientist

-  Experience with machine learning pipelines and concepts such as large-scale training, batch feature extraction, real-time serving platforms

-  Experience with common ML/NLP libraries experience with BERT,SpaCy, NLTK, PyTorch, TensorFlow, Keras

-  Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, causal inference, text      analytics)

-  Experience working with datasets that reflect real life problems such as noisy, highly imbalanced datasets

-  Passion for working and learning in a fast-growing company