Fieldguide is looking to automate and streamline the work of assurance and audit practitioners, specifically within cybersecurity, privacy, and ESG, by building software that enables trust between businesses. They aim to solve the problem of legacy accounting and audit products that are outdated and have negative customer satisfaction.
Requirements
- 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
Responsibilities
- 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
Other
- Collaborate with stakeholders to identify and map business problems to ML solutions
- Contribute to the product roadmap with ML-driven feature ideas
- Be an essential technical contributor at a Series B-stage company as it scales
- Experience presenting technical concepts to non-technical stakeholders
- Experience mentoring or leading small teams
