Designs and implements AI solutions including ML models and LLMs to automate financial workflows and provide real-time insights in an accounting platform. Requires strong ML/DL/NLP expertise, Python, PyTorch/TensorFlow, and production deployment experience in a fast-paced startup.
180k – 250k/yr
On-siteML Engineering
About the role
Responsibilities
Design and implement AI-driven solutions to automate financial workflows and build intelligent features for real-time insights in the accounting platform.
Prototype, deploy, and monitor ML models in production end-to-end.
Requirements
Expertise:
Strong background in machine learning, deep learning, and natural language processing (NLP).
Proven experience with frameworks like PyTorch or TensorFlow, and proficiency in Python.
Hands-on experience deploying ML models into production environments.
Familiarity with LLMs (e.g., OpenAI, Hugging Face) and fine-tuning for real-world use cases.
Other:
Thrives in agility: comfortable experimenting, iterating, and shipping fast.
Values autonomy: takes ownership end-to-end.
Ideal Candidate
Passionate about applying AI to solve real business problems.
Builds practical, customer-facing AI applications.
Eager to collaborate cross-functionally in a fast-paced startup.
Benefits
100% premium coverage for employees and 80% coverage for dependents.
Comprehensive healthcare and dental care options.
Skills
Machine LearningDeep LearningNatural Language ProcessingPyTorchTensorFlowPythonLLMsOpenAIHugging FaceModel Deployment
Build and scale the shared AI platform foundations at Notion, enabling fast and safe shipping of AI products. Requires experience with LLM/ML platforms, strong ownership, and comfort across backend, infrastructure, and product code.
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