Senior Machine Learning Engineer, Fieldguide

• This role requires a balance of practical application skills and the ability to conduct necessary research to solve complex problems
• 4-5 years of experience in applied machine learning or related field
• Strong proficiency in Python and its ML/data science libraries
• Extensive experience with NLP techniques and generative AI technologies
• Experience with LLMs and both text-to-text and text-to-image generative models
• Proficiency in working with large datasets and creating ETL processes
• Experience with version control systems (e.g., Git) and CI/CD practices
• Ability to work in a fast-paced, changing startup environment

Desirable

• As a Senior Machine Learning Engineer at Fieldguide, you'll play a crucial role in developing and implementing ML-driven features that enhance our platform's capabilities in the audit and advisory industry
• You'll focus on building first generation ML applications, particularly in the areas of Natural Language Processing (NLP) and generative AI, while contributing to the growth of our rapidly scaling Series B-stage company
• This is an opportunity to join as an early engineer at a company with product-market fit that still has huge amounts of room to grow
• Be an essential technical contributor at a Series B-stage company as it scales
• Collaborate with stakeholders to identify and map business problems to ML solutions
• Design, develop, and implement ML models with a focus on NLP and generative AI applications
• Curate, clean, and prepare data for model development and training
• Create and maintain ETL jobs for data processing
• Conduct rapid prototyping of ML solutions to quickly iterate on ideas
• Stay current with the latest advancements in ML, particularly in NLP and generative AI
• Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
• Implement data flywheels to continuously improve ML features through increased usage
• Define and implement ML performance metrics
• Contribute to the product roadmap with ML-driven feature ideas