Machine Learning Engineer

EvenUp is a venture-backed generative AI startup that ensures injury victims are awarded the full value of their claims, expanding the $100B+ in awards granted to injury victims each year.
Machine Learning
Mid-Level Software Engineer
Remote
51 - 100 Employees
3+ years of experience

Description For Machine Learning Engineer

EvenUp, a fast-growing generative AI startup, is seeking Machine Learning Engineers to join their expanding team. In the past year, the engineering and data science team grew from <10 to 40+, with expectations to triple in 2024. The role offers the opportunity to work on a broad range of business/technical problems, build and deploy production machine learning models, and design automated ML pipelines.

Key Responsibilities:

  • Build and deploy ML models that impact customers' lives
  • Partner with leaders to drive business impact through ML
  • Collaborate with product teams to address technology needs
  • Develop methods and algorithms from first principles

Requirements:

  • Experience in building production ML systems
  • Industry or research experience in NLP, information retrieval, or entity resolution
  • Strong communication skills
  • Ability to translate theory into practical solutions
  • Quick learner with cross-functional collaboration skills
  • Data-driven development mindset

EvenUp operates in personal injury cases, using ML-driven software to help attorneys assess case values and secure larger settlements. The company is well-funded, having raised a $50M Series B, and aims to help injury victims get justice regardless of their background.

Benefits include choice of medical, dental, and vision insurance, flexible PTO, home office stipend for remote roles, and 401k for US-based employees. EvenUp is committed to diversity and inclusion, providing equal opportunities to all.

Last updated 5 months ago

Responsibilities For Machine Learning Engineer

  • Build and deploy machine learning models in production
  • Be a strategic partner for leaders on driving business impact through ML
  • Build partnerships with product teams to address technology needs
  • Develop methods and algorithms from first principles

Requirements For Machine Learning Engineer

Python
  • Experience building machine learning systems deployed to production
  • Industry or research experience in NLP, information retrieval, or entity resolution
  • Ability to communicate technical ideas or issues in easy-to-understand terms
  • Ability to translate theory and new ideas into practical solutions
  • Quick learner with cross-functional collaboration skills
  • Data-driven development mindset

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k
  • Flexible PTO
  • Home Office Stipend

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