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Senior Software Engineer – ML Infrastructure
| Company | Applied Intuition |
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| Location | Mountain View, CA, USA |
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| Salary | $153000 – $222000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- Experience with building software components to address production, full-stack machine learning challenges. This is not purely a research problem
- Opinions about building a company-wide platform for ML training, evaluation, and deployment
- Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
- Excellent analytical and problem-solving skills
Responsibilities
- Design and implement distributed cloud GPU training approaches for deep learning model training and evaluation
- Build end-to-end machine learning pipelines and integrate them into core product workflows
- Encourage change, especially in support of ML engineering best practices, and maintain a high standard of excellence
- Collaborate with engineers across the entire company to solve complex data problems at scale
Preferred Qualifications
- Experience with developing, running, and managing orchestration systems like Airflow and Flyte that non engineers can use to build data pipelines.
- Experience with ML modeling frameworks (PyTorch, Tensorflow, etc.), and model serving platforms (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
