Staff Software Engineer - Data and Machine Learning

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VISO TRUST

πŸ“Remote - United States, Worldwide

Job highlights

Summary

Join VISO TRUST, a venture-backed startup with a fully remote workforce, as a Machine Learning Engineer. You will contribute to our data and machine learning roadmap, focusing on early-stage experimentation, ETL, architecture, prototyping, and project development. This highly dynamic role requires extensive experience in Python application development, machine learning (especially NLP), building production LLMs and RAG architectures, and robust data pipelines. We offer competitive compensation, including equity, and a comprehensive benefits package with unique perks. We value a collaborative and ambitious work environment.

Requirements

  • 10+ Years of professional experience designing, building, and maintaining production Python applications
  • Hands-on experience with machine learning, particularly natural language processing (semantic understanding, sentiment analysis)
  • Experience building production LLM and RAG architectures
  • Experience with building robust data pipelines
  • Experience with RESTful API architecture
  • Experience with AWS Container and Serverless Services (ECS, Lambda)
  • Experience with Docker

Responsibilities

  • Work directly with us to augment and execute on our data and machine learning roadmap
  • Be responsible for early stage experimentation
  • Be responsible for ETL processes
  • Be responsible for architecture design
  • Be responsible for prototyping
  • Be responsible for project development in a highly dynamic and cross-functional role

Benefits

  • Competitive compensation including salary, equity and a comprehensive benefits package
  • Medical, dental, vision, disability, life and AD&D insurance for employees and dependents without employee contributions
  • Zero deductible medical plans with minimal out-of-pocket expenses
  • HSA/FSA options
  • 401k
  • Gym membership
  • Unlimited PTO
  • 18 paid holidays per calendar year
  • A communications stipend
  • On-hours social events
  • Opportunities for training and growth

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