ML Engineering Lead

As an ML engineering lead , you will be an integral part of our founding engineering team, responsible for building core ML services and improving our usage of large language models. Your scope will include generating datasets, designing, implementing and deploying ML models, and evaluating, and fine-tuning large language models - some of the tasks that you will tackle include: structured data extraction, summarization, search ranking, recommendation, categorization, building knowledge graphs and ontologies, and text generation. From a user perspective, you will help make people and company profile pages more accurate & faster to load, and help build out new experiences to enable research across the universe of people and companies. You will have the opportunity to work on cutting-edge technologies, make decisions about long-term architecture, and contribute to the growth and success of our product.

Key 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.

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.

Nice to have:

• 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

• In addition to a market competitive compensation
• Fully remote
• Global environment where your work directly impacts the company’s growth.
• Remittance based (tax free) salary