ML Engineering Lead

Summary

Join our founding engineering team as an ML engineering lead and build core ML services, improving our large language model usage. You will generate datasets, design, implement, and deploy ML models, and evaluate and fine-tune large language models. Your tasks will include structured data extraction, summarization, search ranking, recommendation, categorization, building knowledge graphs and ontologies, and text generation. You'll contribute to faster-loading and more accurate user profiles and build new research experiences. This role offers the chance to work with cutting-edge technologies, influence long-term architecture, and contribute to product success. The position is fully remote with a remittance-based (tax-free) salary.

Requirements

• 5+ years of experience in software engineering, with a focus on machine learning
• Good understanding of recent developments in NLP, including transformers, language models, question answering and information retrieval
• Ability to work in a self-directed manner as the sole ML engineer on a team
• Experience training and deploying models to production systems
• Exceptional problem-solving skills and creativity in overcoming technical challenges
• Ability to work independently and in a fast-paced startup environment

Responsibilities

• Design, develop, deploy and maintain ML models in production for information extraction, categorization, measuring quality and accuracy, summarization, ranking and other tasks
• Gather data sets across our platform and the web
• Keep up to date with latest ML / LLM / NLP research
• Work closely with the CTO and other technical staff to design, implement and monitor robust AI-based systems for building rich profiles of people and companies
• Collaborate to troubleshoot issues, optimize performance, and improve reliability

Preferred Qualifications

• Experience working with production systems in Node.js / Typescript
• Experience leading and managing ML teams
• Experience serving models in a cloud platform (e.g. AWS Sagemaker)
• Experience with working with unstructured web scraping data

Benefits

• Market competitive compensation
• Fully remote
• Global environment where your work directly impacts the company’s growth
• Remittance based (tax free) salary