Machine Learning Engineer
1 month ago
We're in search of a seasoned ML Engineer to spearhead innovative projects as an individual contributor. You’ll get to dive deep into cutting-edge technology where you'll tinker with LLMs, fine tune models for customer intelligence domain, build search/retrieval technology, and incept new workflow automation systems. You will be responsible for developing production-ready inference pipelines, managing model deployment and versioning, and ensuring effective validation processes. You'll also be working hand in hand with cross-functional teams in product and engineering to shape our machine learning products, bringing a synthesis of innovation and pragmatism, while ensuring alignment with customer interests and best practices.
Desired qualifications
- Deep expertise working as a machine learning engineer or similar role, focusing on NLP.
- Demonstrated experience building, evaluating and testing machine learning models
- Led deploying and managing ML models in a production setting
- Strong programming skills with proven experience implementing Python-based solutions using good software engineering design practices
- Familiar with common DS libraries (NumPy, pandas, and scikit-learn)
- Experience designing and evaluating ML A/B tests
- Previous experience at a high-growth, fast-paced VC-backed startup, or tech lead position at a larger organization
- Common ML frameworks (like PyTorch, TensorFlow, Keras), worked with text embeddings and transformer models
- Bachelor's degree in Computer Science or a related field
- 8+ years experience building and shipping production code in product based companies
Bonus experience
- LLMs and related tooling: Agents, GPT, Langchain, HuggingFace, etc.
- Deep learning techniques, reinforcement learning, and generative models
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