Machine Learning Engineer

Casetext is looking for a passionate Machine Learning Engineer who wants to advance the cutting edge in natural language understanding and apply it to improving our justice system.


About Casetext

Casetext helps millions of people every month access high-quality legal research at an affordable price. By combining advanced machine learning contextual understanding and search technology with a beautiful and easy to use interface, our platform is disrupting the traditional legal research industry and improving access to justice across the country.


Responsibilities

  • Understand problems in legal tech and design machine learning based solutions to solve them
  • Work with engineering teams, when appropriate, to get solutions into use
  • Keep up to date with the latest natural language understanding techniques
  • Implement, train and deploy machine learning models
  • Optimize model throughput in production


Requirements

  • BA/BS degree in computer science, mathematics, or a related field
  • Proficiency with scripting languages (Python, Bash)
  • Demonstrated experience designing and training deep learning models in one of the main deep learning frameworks (Pytorch, Tensorflow) and related tools


Preferred

  • Masters or PhD degree in computer science, mathematics, or a quantitative field
  • Experience deploying distributed machine learning systems on AWS or Google Cloud Platform
  • Good understanding of Transformer architectures
  • Bonus points if proficiency in a compiled language (Scala, Java, Rust)


Casetext Benefits

  • Competitive compensation in equity and salary
  • Exciting and meaningful work with an ambitious and passionate team
  • Be an early employee at a rising start-up, take on a lot of responsibility, and play a substantial role in the future of the company
  • Health, dental, and vision insurance is covered for you, and we cover 50% for spouses and dependents
  • Flexible remote-first work culture
  • We support families with generous maternity and paternity leave
  • We’re a close-knit team of people who really enjoy working together



Casetext is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

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