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Osmo is hiring a

Machine Learning Engineer

Cambridge, United States

Who we are at Osmo:

  • We are a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory. Vision and hearing have been digitized, but not scent. It’s time we solve this.
  • We’re bringing an unprecedented combination of software, data, hardware and capital to the historic challenge of giving computers a sense of smell.
  • We believe in the power of automation and carefully applied AI/ML to solve problems that are beyond what the unaided human mind can tackle on its own.
  • In the first phase of our development, we are using our map of odor along with cutting-edge generative AI to create the next generation of aroma molecules (e.g., the ingredients in the fragrances we wear and the products we use).
  • We're a hybrid company with a laboratory and center-of-mass in Cambridge, MA.

Who you are:

  • You're Curious, Kind, Clear and Gets Stuff Done. You have a first-class mind, and you want to stretch it.
  • You want to work on a nearly impossible goal that serves a deep human need, drawing on a wide diversity of knowledge and skill to achieve it. Where there's a gap, we explore it from first-principles and arrive at pragmatic solutions.
  • You want to work with curious, kind, results-oriented teammates on this adventure into the unknown.

Your Role

Osmo is looking for a Machine Learning Engineer to join our rapidly growing team. Osmo is building an operating system for smell, and the machine learning (ML) platform plays a very important part of modeling and simulating the molecular properties in the real world. This role will help develop novel and desirable molecules for our first set of paying customers as well as performing innovative research to further the platform's capabilities. You will be a member of the engineering team, reporting to the Head of Engineering.

Outcomes

  • Improve the performance (speed/accuracy) of our ML platform that spans on a wide range of molecular chemistry problem, especially concerning olfaction
  • Dive deeply into various datasets, understand their characteristic and derive meaningful train and test data for real-world machine learning models and their deployment
  • Develop innovative model architectures and creative data featurizations to take advantage of available data and unlock new ML capabilities
  • Work closely with software engineers and product managers to strengthen the operating system for scent with our ML platform
  • Stay up to date with the machine learning literature, especially for their application in molecular chemistry and olfaction, and quickly prototype ideas from the research field

Competencies

  • Experiences in graph neural networks and their application in cheminformatics problems
  • Experiences in Bayesian experimental design
  • Work or educational background in chemistry or neural olfaction
  • Familiarity with cloud tooling for machine learning at scale

Requirements

  • 1-3 years of software engineering or postgraduate experience producing high quality code
  • Demonstrated comfort with linear algebra and statistics
  • Experience in applying machine learning techniques to real-world problems with frameworks such as PyTorch or TensorFlow
  • Interest in learning about molecular chemistry and the biology of olfaction
  • Willingness to work in our office in Cambridge, MA 2-5 days a week or travel to Cambridge ~2 times a quarter to work with the team in person
  • US work authorization

At Osmo, we believe in the simple maxim, “be kind, get stuff done.” If this role inspires you we’d encourage you to apply. We are committed to recruiting, developing, and retaining an incredible team optimized for a diversity of thought, background, and approaches. All employment decisions and responsibilities are determined based on current ability and your ability to grow, without regard to race, color, gender identity, sex, sexual orientation, religion, age, marital status, physical, mental, or sensory disability, or any other characteristic protected by applicable law.

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