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Machine Learning Engineer
4 weeks ago
Job Summary:
Avispa Technology is seeking an exceptional Machine Learning Engineer to join our Research and Development team. As a key member of our team, you will be responsible for developing and deploying machine learning models in production environments, working closely with other engineers to ensure solutions are scalable, reliable, and built with best practices.
Responsibilities:
* Develop and deploy machine learning models in production environments
* Solve core research engineering challenges including the design, implementation, and scaling of machine learning algorithms
* Collaborate with cross-functional teams including research scientists, computational biologists, and data engineers to solve complex problems
Requirements:
* B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred)
* 4+ years of experience developing and applying ML models in an industry setting, notably the biomedical space
* Direct experience in Research and Development
* Proficiency in Python
* Experience with Weights and Biases
* Proficiency in MLOps workflows (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows)
* Extensive experience with machine learning frameworks and libraries (e.g., JAX, PyTorch, PyTorch Lightning, Tensorflow)
* Strong background in statistics, probabilistic modeling, and data analysis
* Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership
What We Offer:
* Hourly pay: $70-$90/hr (pay varies based on candidate's experience)
* Worksite: Avispa Technology (South San Francisco, CA 94080)
* W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
* 40 hours/week, 6 Month Assignment
About Us:
Avispa Technology is a leading biotechnology company dedicated to transforming the drug discovery process through innovative machine learning solutions. We are passionate about solving complex technical problems and committed to staying up-to-date with the latest developments in machine learning.
