Staff Machine Learning Engineer
Job description
The Staff Machine Learning Engineer position in Computer Science centres on motivated to build, deploy, and manage systems to accelerate large-scale machine learning workflows in an integrated, usable framework. It would suit someone who can bring demonstrated software engineering skills in developing reliable, scalable, performant systems in a cloud environment to the role.
Where the work sits
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
How the role works day to day
Motivated to build, deploy, and manage systems to accelerate large-scale machine learning workflows in an integrated, usable framework. Mentor software engineers and computational scientists, evangelizing best practices around development tools, CI/CD, and other methods to improve code quality and efficiency. Interested in understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively.
What helps in this setting
Demonstrated software engineering skills in developing reliable, scalable, performant systems in a cloud environment. Strong professional approach.
Practical details
- Exact compensation may vary based on skills, experience, and location.
- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice ().
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.
- We are a culture of collaboration and scientific excellence, and we believe in the values of diversity, inclusion and belonging to inspire innovation.
What needs to be in place
- M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience.
- 8+ years software development experience.
- Extensive experience with large scale machine learning tools and infrastructure.
Job details
- Pay: £113,900 - £154,100
- Benefits mentioned: Training
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