Fieldguide is hiring a
Software Engineer, AI

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Fieldguide

πŸ’΅ $120k-$200k
πŸ“Remote - United States

Summary

The job is for a technical contributor at Fieldguide, a remote-first startup focused on automating and streamlining audits and assurance work. The role involves end-to-end development, architectural decisions, continuous improvement, and a focus on data, design, and culture.

Requirements

  • 3+ years of engineering experience
  • Excitement for product-focused application of ML/AI - this will be a production-focused role
  • 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
  • Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
  • 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
  • Collaborating 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 seed-stage 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

Benefits

Remote work, flexible hours

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