Fieldguide is hiring a
Senior Machine Learning Engineer

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Fieldguide

πŸ’΅ ~$150k-$200k
πŸ“Remote - United States

Summary

Fieldguide is seeking a Senior Machine Learning Engineer to develop and implement ML-driven features for their platform in the audit and advisory industry. As an early stage start-up, this role offers the opportunity to build out the future of business trust while working remotely. The company values diversity and provides benefits such as competitive compensation packages, unlimited PTO, wellness benefits, technology & work from home reimbursement, flexible work schedules, and 401k.

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

  • Collaborate with stakeholders to identify and map business problems to ML solutions
  • 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
  • Define and implement ML performance metrics
  • Contribute to the product roadmap with ML-driven feature ideas

Preferred Qualifications

  • Experience with rapid prototyping of ML solutions
  • Familiarity with model deployment processes
  • Knowledge of ML ops and experience building automated ML pipelines
  • Experience with A/B testing and statistical analysis
  • Modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS
  • Background in or exposure to the audit and advisory industry
  • Experience presenting technical concepts to non-technical stakeholders
  • Experience mentoring or leading small teams

Benefits

  • Competitive compensation packages with meaningful ownership
  • Unlimited PTO
  • 401k
  • Wellness benefits, including a bundle of free therapy sessions
  • Technology & Work from Home reimbursement
  • Flexible work schedules

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