Senior Machine Learning Engineer
Hume AI
full-time
Posted on:
Location Type: Remote
Location: California • New York • United States
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Salary
💰 $130,000 - $230,000 per year
Job Level
Tech Stack
About the role
- Help integrate cutting edge AI models into services and toolkits for researchers and developers
- Work closely with research scientists and frontend engineers to build new capabilities into the Hume platform
- Participate in a wide range of engineering initiatives across the ML lifecycle, including model training, evaluation, and deployment at scale
Requirements
- Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch, JAX, TensorFlow, XGBoost, sklearn, pandas, numpy)
- Understanding of core ML concepts including model architecture, training, and evaluation
- Expertise working with storage and compute on a cloud platform (e.g.Google Cloud, AWS)
- Deep understanding of modern deployment strategies utilizing cloud technologies. (e.g. blue/green, canary deployments, etc)
- Experience using service deployment tooling (e.g. Kubernetes, Docker, Argo)
- Excellent communication and collaboration skills
- Bonus: Experience writing backend services in multiple languages (e.g. Kotlin, Go, Rust, Java, C++)
- Bonus: Knowledge of one or several MLOps platforms for experiment tracking or model training (e.g. Sagemaker, Vertex, Weights and Biases)
- Bonus: Familiarity with distributed training and compute tools like Dask, Ray, and Spark
- Bonus: Experience working at the intersection of machine learning research and engineering.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPyTorchJAXTensorFlowXGBoostsklearnpandasnumpyKubernetesDocker
Soft skills
communicationcollaboration