Sr. Machine Learning Software Engineer

Company: Advanced Software Talent
Location: South San Francisco, California, United States
Type: Full-time
Posted: 09.JUN.2021

Summary

Only direct W2 employees! No 3rd party agencies! Start date is June 6th, 2021 This will be a remote contract for the next 6 months and the...

Description

Only direct W2 employees! No 3rd party agencies!

Start date is June 6th, 2021

This will be a remote contract for the next 6 months and then onsite a couple of days a week.

Local California candidates only!

The position - Sr. Machine Learning Software Engineer

Computational technologies are increasingly a core part of drug discovery and development. We are on a mission to leverage big data, massive computing power, as well as advanced AI algorithms to provide far more therapies at far less cost to society.

Client's Early Clinical Development (ECD) department is seeking Machine Learning Engineers reporting to the head of AI and Cloud Engineering. The AI & Cloud Engineering (ACE) group breaks new ground in applying advanced AI methods including Deep Neural Network to clinical datasets to support clinical decisions, operational decisions, patient response and safety prediction, and personalized medicine clinical development.

The Machine Learning Engineer will primarily be responsible for the training, validation, and deployment state of the art machine learning models on large scale datasets in collaboration with AI scientists and other collaborators.

Qualifications

7 years plus background as SWE

  • Demonstrated proficiency in modern Python
  • Demonstrated ability to design, implement, and scale machine learning workflows; including deployment and delivery of production-ready model APIs
  • Demonstrated proficiency with version control systems and automated software testing and delivery
  • Proficiency with SciPy, PyTorch, TensorFlow, R, and related ecosystems are preferred
  • Proficiency with containerized workflows and architectures preferred
  • You have a masters degree or equivalent in computer science or a related field
  • You have at least 3+ years of experience within the full software development lifecycle from planning through deployment and maintenance
  • Able to present your work, both verbally and in writing, to diverse audiences including scientists, technical colleagues, and management
- provided by Dice

 
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