Apply📍 USA
🧭 Full-Time
💸 260000.0 USD per year
🔍 Software Development
- MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering.
- 5+ years ML Experience.
- Experience developing machine learning-driven products at scale.
- Experience solving problems using Machine Learning with PyTorch.
- Exceptional understanding of designing ML systems in production at scale and applying a quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs.
- Practical experience with large data systems, data models, and batch and streaming data pipelines.
- Ability to ramp up quickly on our tech stack, which includes GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
- Extensive experience with model deployment, both static within applications and dynamic, using Flask, FastAPI, or similar frameworks.
- Build and maintain a training pipeline for fine-tuning open-source LLMs.
- Serve and Deploy the LLM on GPUs. It is important to know different configurations ahead of time to ensure we don’t OOM at runtime.
- Formulate novel product issues to ML problems and propose and iterate on solutions quickly. We value the fast pace of development.
- Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders.
- Keep up with the fast-growing generative AI space and incorporate the latest developments into our system.
DockerNode.jsPythonSQLFlaskGCPGitKubernetesMachine LearningPyTorchAirflowAlgorithmsData engineeringData StructuresFastAPIREST APIPandas
Posted 13 days ago
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