Lead ML Engineer

Email jack@sensorum.ai to apply!

Remote (USA)

Full Time

About the Role

Sensorum is seeking a Lead ML Engineer who can accelerate the development of our AI-based software through individual contribution and team development. You will be responsible for the development of our activity recognition vision and audio based model pipelines, sequential time series models, and all of our datasets. You will take existing and new modeling tasks from whiteboard to production working through design, dataset creation, model selection, training, tuning, edge/cloud deployment, and maintenance.

In the near-term, you will spend the majority of their time hands-on-keys working through development with the CTO. The best candidates will have the potential to assume more responsibility leading the technical team in the design and actualization of large and complex initiatives as we scale.

While we leverage a broad range of specific technology at Sensorum, we would expect you to be experienced in creating content understanding or prediction model training pipelines that are deployed in production or achieve SOTA results. Experience in deployment to edge devices is a major plus.

Top candidates will be offered a competitive compensation package comprising a mixture of cash and equity.

About the Company

We built Sensorum with the goal of proactively identifying and de-escalating chronic disease exacerbations in the home days before a visit to the ER. These avoidable hospitalizations are a $60B+/yr problem in the US alone!

Sensorum Health is a seed-stage, NYC-based healthtech company backed by GV (fmly. Google Ventures) and Operator Partners. We are building an AI-powered sensor network to help seniors affected by chronic disease live healthy lives at home. We deploy fully-passive sensor technology, state-of-the-art AI, and healthcare services in the home to keep our patients out of the hospital. Our core team brings expertise from Facebook AI Research (FAIR), the U.S. Navy SEALs, Imagen Technologies, and Clover Health.


  • Bachelor's degree in Computer Science / Electrical Engineering or related field from a top institution

  • 4+ years of relevant experience working within Software Engineering

  • 2+ years working specifically as an AI or ML Engineer

  • Ability to communicate professionally and write clearly, concisely and precisely

  • Experience in at least two of the following disciplines:

  • Python

  • Pandas / Numpy

  • Pytorch / TensorFlow / Jax

  • GPU / TPU Training Infrastructure

  • Docker

  • Airflow

  • Hyperparameter Tuning

  • Model Pruning + Quantization

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