Senior Machine Learning Engineer

at  Corti

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate31 Jan, 2025Not Specified31 Oct, 2024N/AGood communication skillsNoNo
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Description:

There is no quality healthcare without a quality dialogue. Today, that dialogue is broken; we need you to help us fix it.
Doctors and nurses across the world are facing unprecedented challenges. When we meet them, they’re dealing with heavy workloads, extensive paperwork, and the pressure of performing well, which in healthcare, can have dire consequences. This system is gradually undermining the passion and autonomy of our dedicated healthcare professionals, who entered this field to provide care, not to clerk.
Corti has built the world’s premier AI assistant for healthcare providers. It listens in during patient dialogue, takes notes, writes summaries, journals and does quality assurance. When information is missed, or risk is high, it offers nudges and prompts to help steer the dialogue back on the right path. Entire countries trust Corti to deliver better healthcare, and our AI has already helped millions of patients, but we are just getting started.
At Corti, we are growing fast and always looking for skillful people to ensure we go in the right direction. If you enjoy working in an autonomous and collaborative team, guided by shared values and a willingness to act, iterate, and learn, then join us at Corti as a Senior Machine Learning Engineer
As a Machine Learning Engineer, you will be part of our machine learning R&D team and work closely with our product teams. The machine learning R&D team consists of seasoned engineers as well as several Ph.D. students and postdocs collaborating with Danish and international universities. Our product teams are cross-functional and own product discovery and delivery end-to-end.
You can read more about our research and publications here: https://corti.ai/company/research
Our vision, products, and solutions to enrich patient consultations are described here: https://corti.ai/
In this role, you will work alongside our other machine learning engineers and researchers, developing new models, implementing state-of-the-art research outputs, and translating those outputs into tangible product outcomes. For example, you might be involved in the prototyping a new machine learning-based product feature in collaboration with other teams. Or you might work independently on taking state-of-the-art research and assessing how well it works in Corti’s domain. There are many possibilities and plenty of room for creativity and bringing in your own ideas.

READY TO DIVE INTO THE WORLD OF CORTI? HIT THAT ‘APPLY’ BUTTON, AND LET’S START WORKING TOGETHER ON RESHAPING THE DIALOGUE IN HEALTHCARE, MAKING A REAL DIFFERENCE FOR MILLIONS OF PATIENT OUTCOMES AROUND THE WORLD.

Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status.
At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying

Responsibilities:

  • A higher university degree or Ph.D. in computer science, computer engineering, mathematics, statistics, physics, or a related interdisciplinary field.
  • In-depth experience with Python and strong command of data structures and algorithms in order to contribute to production-grade code.
  • In-depth knowledge of one or more of the major machine learning frameworks (e.g., PyTorch or TensorFlow).
  • Ability to manage machine learning research projects and clearly communicate outcomes to technical and non-technical audiences.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Computer science computer engineering mathematics statistics physics or a related interdisciplinary field

Proficient

1

London, United Kingdom