Chief NLP Scientist
Seeking a new challenge? This is the perfect opportunity to grow as a Chief NLP Scientist! We offer a flexible, hybrid Remote arrangement for this...
Seeking a new challenge? This is the perfect opportunity to grow as a Chief NLP Scientist! We offer a flexible, hybrid Remote arrangement for this position. This position requires a strong and diverse skillset in relevant areas to drive success. The compensation for this role is benchmarked at a competitive salary.
? Position Summary * The NLP platform is the core virtual platform powering the vision of delivering the world?s best and fully autonomous intelligent agent to our users. The person needs to be passionate about NLP to helps in building the platform from the ground up. Join us in the early stage and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of the platform, to power thousands of companies and millions of customers across the globe. As part of the startup, you will also have the additional opportunity of working directly with the customers and the executive team. Minimum Qualifications ? This position is for an NLP Expert, ideally a Ph D in NLP, with several years of experience in leading, building and shipping most advanced NLP and AI products for the enterprise customers ? This position is for the product engineering and not for the research lab. The role requires hands-on development experience in C++, Python and other programming language. ? The person should be expert in building, training, evaluation and deployment of AI models. ? The strong background in math, statistics is must. ? The person should be passionate about building and growing an startup. This job requires passionate individuals who are self motivated, can challenge themself and thrive under the pressure. ? Excellent oral and written communication skills. ? Preferred Qualifications * ? Strong attention to detail and exceptional level of organization ? Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between. ? MS/PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field) Apply!
We Want to Hear From You!
If this role sounds like a perfect fit, don't hesitate. Apply today and let's build the future together.
