Large Language Model Expert
7 days ago
**About Firsthand**
We are a pioneering AI agent platform built for publishers and brands. Our innovative platform empowers publishers and brands to secure, manage, and distribute their data and content across direct conversational campaigns that leverage custom AI agents and are accessible anywhere consumers seek information online.
Backed by AI visionaries and led by digital advertising experts, we are committed to creating the data and agent infrastructure that will power consumer interactions in the AI era.
**Job Overview**
We are seeking a highly skilled Senior AI Engineer to spearhead the application of our product's latest LLM/AI technology.
As a vital member of our team, you'll be responsible for pioneering experimenting, developing, and deploying cutting-edge machine learning and large language models for production systems.
**Key Responsibilities**
- Lead the development and maintenance of ML systems, ensuring optimal performance and continuous enhancement of machine learning models.
- Stay abreast of the latest breakthroughs in machine learning and apply them to amplify the effectiveness of our systems.
**Requirements**
- At least 5 years of professional experience in Machine Learning.
- Thorough understanding of software engineering fundamentals and proficiency in Python, ML frameworks, ML experiments, and MLOps tools.
- Expertise in machine learning systems in production, particularly in NLP/LLM, with hands-on experience in model fine-tuning and reward learning.
- Strong analytical and problem-solving skills, combined with meticulous attention to detail.
- Familiarity with prominent cloud platforms (AWS, GCP).
- Superior communication and collaboration abilities.
- Driven and self-motivated, with a strong ability to take ownership and drive projects to completion.
**Compensation and Benefits**
We offer market-competitive compensation and equity, to be discussed during the interview process.
Estimated Annual Salary: $190,000 - $230,000, depending on location and experience.
Note: Compensation may vary based on factors such as location, experience, and performance.
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