Ellipsis Health is revolutionizing the way behavioral health is assessed and managed. We've pioneered the only clinically validated vital sign for mental health and offer a real-time platform powered by patented machine-learning algorithms to assess and monitor anxiety and depression. Ellipsis Health was founded with the belief that our mental health should have the same priority as our physical health. We saw an opportunity to connect the dots between the two - giving voice to a new standard of mental health care. Headquartered in Silicon Valley, we are funded and supported by some of the most preeminent venture capital teams such as SJF Ventures, Khosla Ventures, Greycroft, Generator Ventures, Luminous Ventures, SpringTide Ventures, and CityLight Capital.
 
We are currently looking for an experienced machine learning scientist and engineer with deep expertise in spoken language technologies.   The candidate would join the Ellipsis Health Machine Learning team, to develop models to predict mental health risk level from speech and language.

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RESPONSIBILITIES

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• Develop machine learning models for predicting mental health conditions from spoken language

• Contribute to machine learning architecture design, experimentation, testing, fine-tuning

• Develop production-level software for machine learning infrastructure (for example data pipelines, testing frameworks, model deployment, etc)

• Stay up to date on latest machine learning developments to help drive new experiments and solutions

• Contribute to publications and patents 

• Work closely with engineers, data scientists, and stakeholders from Product, Business Development, and Customer success

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SKILLS & QUALIFICATIONS

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• At least 5 years of work experience, of which at least 3 years should involve model development and delivery in industry or related contexts

• Good knowledge of the Python programming language; familiarity with at least one of the deep learning frameworks such as pytorch, tensorflow.
  Strong software engineering skills   

• Experience with deployment of trained models for large scale inference use cases.

• Good knowledge of the latest progress in deep learning architectures and methods--in at least one of the following areas:  speech processing, NLP, speaker ID, speech emotion processing, translation

• Experience with modeling time series data. We strongly prefer experience with speech data, however, we will also consider strong candidates with experience with other types of time series data

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HELPFUL

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• Technical team management experience

• History of published work

• Experience in analysis, visualization and interpretation of model outputs

• Public Cloud Experience - GCP or AWS

• Knowledge of MLOps.

• Experience working with speech signals, including acoustic modeling and DSP

• Experience with speech and language data sets

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SOFT SKILLS

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• Excellent English communication skills (both written and oral)

• Technical leadership skills

• Ability to work both independently and with teams

• Creative, positive attitude; problem-solving skills

• Reliability, organization, documentation of work

• Strong interpersonal skills to support collaboration within and across company teams

• Ability to cooperate in remote work environment, with a core team working in California 

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BENEFITS

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• Flexible hours

• Remote work 

• Stock options