Lead Machine Learning Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

At least 7+ years of experience in applied machine learning or 5+ years with a PhD., Master's or PhD degree in a relevant field such as computer science or healthcare., Expertise in Python and deep learning frameworks like PyTorch., Experience building deep learning models, especially for NLP tasks and unstructured healthcare data..

Key responsibilities:

  • Design, develop, and deploy advanced machine learning algorithms for clinical use cases.
  • Build reliable and scalable production machine learning systems.
  • Collaborate with stakeholders to align ML solutions with organizational goals.
  • Guide junior engineers on best practices in software and machine learning.

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Cohere Health SME https://www.coherehealth.com/
201 - 500 Employees
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Job description

Opportunity Overview:

As a Lead Machine Learning Engineer, you’ll join our growing team of worldclass machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices.

Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growthoriented environment that works for everyone.

What you’ll do:

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Empathy
  • Collaboration
  • Communication

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