Jobs

Senior Machine Learning Engineer


Job details
  • kadence
  • London
  • 5 days ago

About the Company

Our client is 6 person start-up founded by 3 individuals through their YC accelerator programme. They are helping clients solve problems within the legal and patent IP field. They are looking for super-talented founding AI Research Engineers to help us define our AI workflows as well as building our back-end of our products extremely fast. You’ll be joining the most lean, talent-dense, and fast-moving engineering team in London.


About the Role

Defining AI Workflows: You'll be at the forefront of bringing cutting edge ai research and applying into the product to ensure they stay ahead of the latest ai technology. Building the foundations. You’ll be building the core, scalable foundations of our backend for a huge market - from the ground up. This isn’t a task to be taken lightly, and we’re excited to partner with people who are eager to dive headfirst into this opportunity. Planning the product roadmap based on customer feedback. You’ll need to help us extract insights from customer meetings to determine what we need to build to find product-market fit as quickly as possible. Assembling a world-class engineering team. You’ll partner with our founding team to build, scale, and set the culture of our engineering team.


Responsibilities

  • Developing production-ready AI algorithms. We have developed proprietary algorithms which greatly increase the quality of generated patents. You will be leading the development of new and improved algorithms to push the envelope of what is possible with large language models.
  • Building a state-of-the-art evaluation pipeline.A robust evaluation pipeline ensures that AI outputs are high quality and objectively steers the direction of our R&D team. You will be leading the development of this pipeline and benchmarking the performance of Solve’s proprietary algorithms on large datasets.
  • LLM prompt engineering.Research and implement state-of-the-art prompting methods to maximise the efficacy of our LLM models and algorithms


Qualifications

Must haves:

  • Expert in Python.
  • Experience with databases (Postgres).
  • Familiarity back-end development and full-stack frameworks.
  • Strong understanding of LLMs available in the market including OpenAI, Anthropic and other available open-source models.


Nice to haves:

  • Experience working with WYSIWYG HTML document editor APIs (e.g. TinyMCE, CKEditor 5).
  • Experience with AWS DevOps tooling.
  • IT security awareness.
  • Experience with AI.


Pay range and compensation package

  • Base salary between $70-£135K; depending on qualification and experience. Significant equity; we want you to take ownership and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people.

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