Lead AI Engineer

AI Talent Now; San Francisco (CA); Hybrid; USD 275,000 - 350,000; Full time

Benefits offered by this job

Meaningful stock options

Job summary

AI Talent Now is seeking an AI Lead in San Francisco, California to integrate AI capabilities into their design tool. Responsibilities include fine-tuning AI models and managing infrastructure for deployment. The ideal candidate will have 5-10 years of experience in machine learning and strong proficiency in TypeScript and Python.

Compensation ranges from $275k to $350k annually, with a hybrid work format. This role offers meaningful stock options alongside the opportunity to influence AI advancements within the company.

Qualifications

• 5 - 10 years of experience in machine learning, applied scientist or adjacent roles fine tuning models at tech companies.
• Experience building Small Language Models (SLMs).
• Strong proficiency in TypeScript, Node, and Python.

Responsibilities

• Fine-tune AI models for specific use cases to optimize performance and accuracy.
• Collaborate closely with the engineering team to integrate AI models into the product.
• Set up and manage infrastructure to support efficient AI model deployment.

Skills

Machine learning

Fine-tuning models

TypeScript/Node.js

Python

Education

Undergraduate degree in Computer Science

Job description

Job Description

Hybrid role

As an AI Lead at Weaver AI, you will be at the forefront of integrating AI capabilities into our cutting-edge design tool. Your primary focus will be on fine-tuning models to ensure we have the fastest, most cost-effective, and highest accuracy AI features. You will be responsible for setting up the LLM architecture, ensuring low latency, and managing our AI infrastructure.

Responsibilities

• Fine-tune AI models for specific use cases to optimize performance and accuracy.
• Collaborate closely with the engineering team to integrate AI models into the product.
• Evaluate and benchmark models, ensuring they meet our latency and accuracy standards.
• Set up and manage infrastructure to support efficient AI model deployment.
• Work on model evaluation, benchmarking, and observability to ensure robust performance.
• Stay updated with the latest advancements in AI to continually refine our approach.

Qualifications

• 5 - 10 years of experience in machine learning, applied scientist or adjacent roles fine tuning models at tech companies.
• Hands-on experience fine-tuning models specifically for coding and code generation use cases.
• Experience building Small Language Models (SLMs).
• Owned AI architecture and technical direction for a product.

Education

• Undergrad in CS.

Hard skills

• Manage latency and setup infrastructure for low-latency, high-accuracy AI model usage.
• Strong proficiency in TypeScript/Node.js and Python.
• Experience with fine-tuning techniques like LoRA or distillation.

Soft skills

• Ability to own systems end-to-end and lead execution.

Company Overview

• Building a native design tool where code is the core differentiator.
• Focus on AI features to improve efficiency and accuracy in the platform.

Role Requirements

• Experience in research and fine-tuning AI models, plus applied experience.
• Focus on model fine-tuning, evaluation, and infrastructure setup for low latency and high accuracy.

Candidate Requirements

• 5+ years of experience, senior-level engineer with AI focus.
• Strong proficiency in TypeScript, Node, and Python.

Team Structure

• This role reports to the CTO and collaborates closely with the engineering team.

Compensation and Logistics

• Salary range: $275k to $350k with some flexibility.
• Hybrid role based in the Bay Area, no visa sponsorship.

Timeline and Urgency

• Position to be filled as soon as possible.
• Interview process includes initial screening, technical interviews, and a take-home assignment.

Pain Points

• Lack of fine-tuned, efficient models impacting product experience.
• Need to establish internal AI infrastructure for better control and efficiency.

Ideal Candidate Profile

• Someone who has managed AI model fine-tuning and infrastructure setup.
• Background in applied AI roles, possibly from growth-stage companies or startups.

Benefits

Meaningful stock options

Requirements

• 2+ years of experience in software, SaaS, or IoT system implementation.
• Strong understanding of project coordination, resource scheduling, and implementation processes.
• Familiarity with IoT devices, APIs, and network connectivity preferred.
• Exceptional attention to detail, communication, and time management skills.
• Ability to manage multiple active implementations in a fast-paced environment.