Extuitive is looking to empower entrepreneurs and direct-to-consumer (D2C) brands with AI-driven tools that simplify, accelerate, and scale the launch of new products. The Senior Machine Learning Engineer will be responsible for designing, building, and deploying the ML systems that power this platform.
Requirements
- Strong background in Python and ML frameworks (PyTorch, Hugging Face, Scikit-learn, Torchtune, Deepspeed or equivalent).
- Experience with LLMsor recommendation systems in production environments.
- Strong understanding of data engineering: pipelines, ETL, feature stores.
- Familiarity with vector databases, embeddings, and real-time inference.
- Comfort with cloud ML infrastructure (AWS/GCP/Azure) and GPU usage.
- Experience in MLOps: experiment tracking, model versioning, monitoring.
- Passion for writing clean, maintainable code and establishing best practices.
Responsibilities
- Build and Deploy ML Models That Power the Product - Translate product requirements (e.g., “recommend the best product” or “summarize customer feedback”) into ML problems.
- Select, fine-tune, or train models (LLMs, embeddings, classifiers, recommenders) that deliver real customer value.
- Own the ML Pipeline End-to-End - Design data pipelines for collection, cleaning, feature engineering, and labeling.
- Set up lightweight MLOps practices (CI/CD for models, reproducibility, experiment tracking).
- Make Pragmatic Technical Decisions - Balance off-the-shelf APIs (OpenAI, Anthropic, Hugging Face) vs. custom models, depending on speed, cost, and IP.
- Wear Multiple Hats - Jump in on DevOps, analytics, or even light backend integration when needed.
- Help with customer-facing issues (debugging, bug fixes, UI polish) in real time.
Other
- 5+ years of professional experience in applied machine learning
- Master of Science degree in ML, Software Engineering, or equivalent
- Comfortable working in a fast-paced startup environment, where priorities evolve quickly.
- committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
