Underdog.io
Machine Learning Engineer (Remote)
Machine Learning Engineer | Underdog.io | UnitedStates
Machine Learning Engineer | Underdog.io | United States
The company is looking to hire someone who (1) holds a Bachelor’s degree or equivalent practical experience, (2) has industry experience in training ML models, (2) enjoys and have experience shipping ML models in a large-scale production environment, (3) holds themselves and others to a high bar when working with production systems, (4) takes pride in taking ownership and driving projects to business impact, and (5) thrives in a collaborative environment. The ideal candidate should also have experience building and developing large-scale infrastructure, accessible technologies, distributed systems or networks, and/or have experience with compute technologies.
On any given day, you will (1) write product or system development code, (2) participate in or lead design reviews with peers and stakeholders to decide amongst available technologies, (3) review code developed by other developers and provide feedback to ensure best practices, (4) contribute to existing documentation and adapt content based on product/program updates and user feedback, and (5) triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on the system.
The company uses popular languages, frameworks, and tools, including JavaScript, Python, Golang, Scala, Ruby on Rails, SQL, AWS, Kubernetes, Docker, and ML frameworks such as PyTorch, TensorRT, and Triton.
The Underdog.io team is available if you have any questions or would like to discuss other potential roles.
, Machine Learning,PyTorch,TensorRT,Triton,Python (Programming Language),Java,Back-End Web Development,Node.js,Go (Programming Language),SQL,Ruby,Ruby on Rails,Amazon Web Services (AWS),Django
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