ML Engineering Lead

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Description

• 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. • 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