Principal Machine Learning Engineer

About hireworks

hireworks is building a community of top talent in key international markets by unlocking unparalleled access to positions at leading U.S. based companies. As your employer, hireworks will ensure you have a seamless interview, onboarding, and employee experience - providing ongoing support and resources along the way. Established in 2023, hireworks is forging corp-to-corp relationships with leading U.S. based organizations looking to grow their teams with best-in-class talent around the world. Working with hireworks means unlocking access to a network of local peers and mentors and career opportunities through our client network.

Our client is seeking a Principal Machine Learning Engineer with a background in full-stack development. You must be passionate about AI and agent-technology.

You'll join their AI Engineering team, which is building an AI Agent that can run an unprecedented 100k models across tasks. The agent intelligently orchestrates workflows by selecting and executing the most effective open and closed-source models for the requested task. In addition to contributing to the agent, you'll work with enterprises in the adoption of the agent.

You'll have access to unpublished AI research from top conferences, and you'll help these conferences make this AI research accessible to the world. This will be your focus for the first 6 months, and well grow together from there. If that path of learning sounds exciting, let's collaborate.

Tech Stack

• Front-end: Next.js, React, MobX, Firebase, MUI

• Langs: Node.js, Python

• IaaS: GCP mostly, AWS minor

• Architecture: mostly serverless, event-driven

• DBs: NoSQL, Graph

Your Skills

• Full stack dev:

  • Contributed to, or principally authored, several full stack apps

  • Deployed various types of services to GCP or AWS

• ML engineering:

  • Thirst for knowledge: You stay current with advancements in AI and machine learning

  • Participated in the development of end-to-end AI pipelines, from data preprocessing to model deployment

  • Experienced at least 3 production-level projects

  • Familiar with fine-tuning

    • You've fine-tuned LLMs

    • Proficient in fine-tuning open source and closed source models

  • Deployed models into production

  • Knowledgeable about post-deployment considerations