Senior Software Engineer, Fieldguide

• You want to join an early stage company: We're young, but we've found strong demand for our products and are growing quickly
• We've landed numerous top audit and advisory firms as customers, displaced entrenched legacy technology, and have high demand for product access
• You believe that great design and UX are requirements: We bring a user-centered approach to problem solving, focusing deeply on our customers
• We're competing with legacy software that was built in the 1990's
• These products have extremely low user satisfaction, but are worth billions of dollars just because they're entrenched with so many firms
• You're obsessed with data: We have a rich dataset that is ripe for automation and AI
• With our data advantage, we can provide our users with intelligent automation, predictions of common workflow patterns, and analytics that will fundamentally change the structure of audits
• You greatly value culture: Our goals are lofty, we work very hard, and we want to transform an industry
• More importantly, we also work responsibly
• We place a premium on building a sustainable, inclusive, high EQ, high feedback, and safe company that celebrates individuals of all backgrounds
• 5+ years of engineering experience
• Excitement for product-focused application of ML/AI - this will be a production-focused role
• Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
• Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
• Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
• Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
• Experience in developing, testing, evaluating and deploying ML models
• Ability to collaborate on all aspects of product strategy and UX
• Experience shaping an early stage tech stack and product, and engineering organization

Desirable

• Be an essential technical contributor at a Series B company as it scales
• Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches
• Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time
• Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor