Remote Senior Machine Learning Engineer, LLMs & Prompt Engineering (New project)

at Autify, Inc.

Posted 2 days ago 5 applied

Description:

  • The Senior Machine Learning Engineer will be responsible for developing a new product utilizing machine learning techniques and generative AI from a proof of concept into a releasable product.
  • Responsibilities include creating effective prompts to maximize the quality of the output from LLMs based on product specifications.
  • The engineer will build machine learning models using data relevant to software testing as needed.
  • Collaboration with other engineers, designers, and product leads is essential to implement various features while considering performance, security, and reliability.
  • The role involves creating PoC Web/CLI applications that use LLMs or ML to validate the feasibility of ideas.
  • The engineer will proactively identify functions that can be improved and suggest possible solutions in technical aspects and product-related ideas.
  • Participation in on-call rotations for incident and alert handling is required.

Requirements:

  • Candidates must be able to work in Japan standard time, with partial JST working hours negotiable.
  • A minimum of two years of experience in training and customizing deep learning models, especially LLMs, is required.
  • At least one year of experience in prompting open-source and closed-source LLMs is necessary.
  • Experience in developing APIs with FastAPI and Python is required.
  • Candidates should be up to date with the latest machine learning research, particularly on LLMs and prompt engineering.
  • Experience in building metrics for evaluating various tasks performed by LLMs is essential.
  • The ability to communicate and work in English is required.

Benefits:

  • The salary for this position ranges from ¥8,000,000 to ¥12,000,000 a year.
  • The position is a full-time contractor role with remote work options available in the JST timezone, with partial JST overlap negotiable.
  • The engineering team is international, fostering a culture of respect for diverse backgrounds.
  • The development process includes regular sprint ceremonies and opportunities for engineers to demonstrate their work to the entire team.