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Senior Acoustic Machine Learning Engineer


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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.


  • 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


  • At least 5 years of work experience, of which at least 3 years should involve model development and delivery involving mostly speech and acoustic modeling, such as depression and anxiety, emotion recognition, ASR, speaker recognition, etc. 

  • Experience with speech processing techniques 

  • Excellent software engineering skills. Especially, strong knowledge of the Python programming language and a familiarity with at least one of the deep learning frameworks, such as pytorch or tensorflow

  • Strong knowledge of the latest progresses in deep learning architectures and methods– in at least one of the following areas: NLP, speech processing, speaker ID, speech emotion processing


  • ​​Excellent English communication skills (both written and oral)

  • Able to work both independently and with teams

  • Creative, positive attitude, problem-solving skills

  • Reliable, highly organized, able to document work effectively

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

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


  • Flexible hours

  • Remote work 

  • Stock options

  • Salary Range: $50,000 to $250,000 USD annually depending on location, skill, and experience

If you require any assistance due to a disability which may affect the application process, please reach out and let us know. 


We believe in equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity. We are a company that strongly believes in a diverse, equitable, and inclusive work environment.

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