Senior Machine Learning Engineer
About Kintsugi
Kintsugi is on a mission to scale access to mental healthcare for all. We are developing novel voice biomarker software to detect signs of depression and anxiety from short clips of free-form speech. Awarded multiple distinctions for AI technology and recently named one of Forbes’ Top 50 AI companies to watch in 2022 and Fierce 15 in 2023, Kintsugi helps to close mental health care gaps across risk-bearing health systems, ultimately saving time and lives.
Kintsugi is on a mission to scale access to mental healthcare for all. We are developing novel voice biomarker software to detect signs of depression and anxiety from short clips of free-form speech. Awarded multiple distinctions for AI technology and recently named one of Forbes’ Top 50 AI companies to watch in 2022 and Fierce 15 in 2023, Kintsugi helps to close mental health care gaps across risk-bearing health systems, ultimately saving time and lives.
At Kintsugi, we believe that mental health is just as important as physical health. We exist to ensure that everyone who needs mental healthcare has access to the right care at the right time.
About the Team
We're a female-founded organization, united and driven by our shared passion to revolutionize access to mental healthcare. Our mission is ambitious, and each member of our team wears multiple hats and plays a pivotal role. As an early-stage, Series A startup, we offer exciting growth opportunities and the chance to make a real impact. Join us to embark on a rewarding journey, learning and growing alongside our dedicated team of trailblazers.
The Role
As our Senior Machine Learning Engineer, you will contribute to building robust, production-ready models. You will leverage our extensive speech dataset while experimenting with a multitude of deep-learning architectures to explore state-of-the-art speech analysis methods to solve a variety of classification and regression tasks. Working alongside our cloud engineering team, you will help deploy these models and ensure they stay performant in a wide range of customer-facing applications.
We're a female-founded organization, united and driven by our shared passion to revolutionize access to mental healthcare. Our mission is ambitious, and each member of our team wears multiple hats and plays a pivotal role. As an early-stage, Series A startup, we offer exciting growth opportunities and the chance to make a real impact. Join us to embark on a rewarding journey, learning and growing alongside our dedicated team of trailblazers.
The Role
As our Senior Machine Learning Engineer, you will contribute to building robust, production-ready models. You will leverage our extensive speech dataset while experimenting with a multitude of deep-learning architectures to explore state-of-the-art speech analysis methods to solve a variety of classification and regression tasks. Working alongside our cloud engineering team, you will help deploy these models and ensure they stay performant in a wide range of customer-facing applications.
Kintsugi offers a holistic total rewards package designed to support our employees in all aspects of their life inside and outside of work. The expected base salary for this position will range from $175,000 - $200,000 + Equity. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience.
Responsibilities
- Design and implement ML models to predict signs of anxiety and depression from speech in a reproducible fashion
- Integrate with our fast paced and highly collaborative engineering and research teams to drive model compute and metric performance improvements
- Identify, evaluate and implement technologies to track and improve performance and reliability of our ML systems
- Identify sources of bias in our ML models and implement methods to ensure equitable performance
- Work with our cloud team to define requirements for production model deployment while balancing compute costs and model performance
Qualifications
- M.S./Ph.D. in Computer Science or B.S. with 3+ years of experience in building production-grade machine learning models in industry and/or academic research settings
- Strong programming skills in python with extensive experience with the scientific and deep-learning stack (numpy, pandas, numba, torch, tensorflow, jupyter)
- A proven track record of building end-to-end neural network models and presenting results to colleagues
- Experience optimizing the compute performance of models for production
- Ambitious team player with strong communication skills (oral and written)
- Experience implementing and experimenting with cutting-edge ML techniques from the literature
Bonus Qualifications
- Background in speech processing or audio classification
- Experience with experiment tracking and reproducibility tools (MLFlow, WandB, DataBricks, etc)
- Experience working in a cloud environment (GCP, AWS, Azure, etc)
- Recent publication(s) in peer-reviewed AI journals
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