Machine Learning Engineer
Location: Remote/ Bay Area, CA
The Company:
We are a cutting-edge stealth startup rejuvenating the traditionally tedious $292 billion audit industry by creating AI auditors that handle complete audit workflows like humans, allowing human auditors to focus on truly meaningful and strategic tasks.
Our strong founding team includes a serial entrepreneur with exit and ex-regional Head of Strategy at a Fortune 500, a Principal Architect from Microsoft, and an ex-EY audit partner/regional head of assurance, combining deep audit expertise with advanced technology. Join us to create real impact with AI and start the new era of AI coworkers!
Job Description:
- Develop, fine-tune, and optimize advanced machine learning models for production.
- Lead creation, collection, curation, and analysis of high-quality datasets.
- Design and implement ensembles of models with uncertainty-driven orchestration.
- Build and maintain robust inference pipelines with performance optimization, batching, and scalability.
- Evolve prompt engineering strategies and manage prompt libraries for the system.
- Collaborate with cross-functional teams to integrate ML components seamlessly into products.
Qualifications:
- Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.).
- Strong background in model deployment, orchestration, and system scalability.
- Experience with data lifecycle management and inference performance tuning.
- Track record of research or applied ML project success.