Senior Software Engineer, AI

Summary

Join Fieldguide, a remote-first Series B company, and be an essential technical contributor as we scale. Play a leadership role in developing features, making architectural decisions, and optimizing for iteration speed while maintaining high quality. Contribute to continuous improvement of our technology and processes. We are building software for assurance and audit practitioners in cybersecurity, privacy, and ESG, and we're backed by top investors. We value diversity and building a sustainable, inclusive, and supportive company culture. This is a production-focused role applying ML/AI to a rich dataset.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience training, fine-tuning, and deploying LLMs
• Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, Keras, scikit-learn
• Familiarity with modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, Python, and AWS
• Experience with cloud computing platforms like AWS
• Experience with DevOps and continuous integration/delivery best practices