We are looking for a junior ML engineer who can join us in expanding our NLU capabilities to all the different enterprise problems from different domains. You will be tuning our existing NLU models as well as building new models to adapt to different domains beyond enterprise IT, taking advantage of the latest and greatest transfer learning technologies. This work is highly impactful on our team’s core value that is to build a natural language platform to help employees with all their enterprise problems, with deep collaboration to many of the functionalities within Moveworks. 

If you are looking to do the best work of your career with a bright, dedicated, and scrappy team alongside you, we’d love to have a conversation.

Who we are:

Moveworks is redefining how companies support their employees with an AI platform that resolves their problems at work — instantly and autonomously. Included on the prestigious Forbes AI 50 list and named a leader in The Forrester New Wave, Moveworks uses advanced natural language understanding (NLU) to resolve support issues, straight on collaboration hubs like Slack and Microsoft Teams. 

We're doing this for IT today, and for the entire enterprise in the near future. This is a unique chance to join the team at an early stage as a key player in our growth strategy. If that sounds like fun, we can’t wait to start this journey together.

What Will you do? 

• Apply machine learning, NLP, and deep learning methods to unstructured data sets and complex systems
• Use your knowledge of machine learning fundamentals to develop and execute new algorithms, evaluate with small scale experiments and later productionize solutions at scale
• Investigate and solve exciting and difficult challenges in machine learning, classification, data science, content analysis, and deep learning
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Use the latest advances in machine learning, data science, neural network, and deep learning to enhance our products and create delightful user experiences
• Work on search/information retrieval problems
• Spend time weekly reading, discussing, and potentially building models off of the latest ML research

What do you bring to the table? 

• You have experience training and serving machine learning modeling. Experience to productionize ML models in a scalable system is a plus
• You have strong familiarity with frameworks like PyTorch, TensorFlow, Keras, LightGBM
• You are familiar with deep learning algorithms 
• You have experience with NLP frameworks like SpaCY, Gensim, or NLTK
• You feel at home developing on Linux with languages like Python or GoLang
• Desire to work at a startup pace in a small company with a high degree of ownership
• Strong motivation, gumption, and an appetite for continuous, incremental changes and completing challenging projects fast
• High level of curiosity about engineering outside of your immediate discipline and an incessant desire for learning