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Senior Software Engineer, AI

Posted about 7 hours agoViewed

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๐Ÿ’Ž Seniority level: Senior, 5+ years

๐Ÿ“ Location: United States

๐Ÿ” Industry: Software Development

๐Ÿข Company: Fieldguide๐Ÿ‘ฅ 101-250๐Ÿ’ฐ $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

โณ Experience: 5+ years

๐Ÿช„ Skills: AWSBackend DevelopmentGraphQLPostgreSQLPythonSQLArtificial IntelligenceCloud ComputingData AnalysisData MiningFull Stack DevelopmentGitKerasMachine LearningNumpyPyTorchReact.jsSoftware ArchitectureTypeScriptData engineeringREST APIPandasReactTensorflowCI/CDDevOpsNodeJSSoftware Engineering

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. Youโ€™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.
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