ML Engineer

Overview

Company name: ChipStack | HQ Location: Seattle, WA | Website | LinkedIn

Role: ML Engineer

• Salary: Rs. 40-60 lakhs per year
• Experience: 3+ years
• Location: Remote
• Type: Full-time

We are looking for an exceptional Applied Research Engineer to join our founding team and contribute to improving our in-house large language models (LLMs). In this role, you will apply cutting-edge techniques to fine-tune LLMs and implement novel ways to improve their performance on our target applications.This is a unique opportunity to work at the forefront of LLMs while surrounded by exceptional researchers and builders at AI2. As a founding member of a rapidly growing startup, you will significantly impact the product and shape its future. We offer competitive pay, benefits, and equity, and believe this position will be fulfilling for you.

Ideal Candidate

Several years of full-time experience in applied ML roles, preferably in a fast-paced environment like early-stage startups.

Non-negotiable

1. Deep passion for technology. Self-driven individual with a sense of urgency
2. Detail oriented and a strong desire to build high-quality customer-focused products

Requirements

1. Prior experience in fine-tuning large language models required
2. Experience in building diverse and high-quality datasets
3. Strong programming skills in Python
4. Familiarity with deep learning frameworks such as TensorFlow or PyTorch
5. Exposure to or active participation in the latest research and advancements in NLP
   
   

Preferences

1. Experience in code generation with LLMs
2. Experience setting up infrastructure for training large deep-learning models

About us
Semiconductor chips are the driving force behind the modern technology-driven world. They power everything from cars to rockets, sensors to servers, and have a crucial role to play in several major industries, making the $1T semiconductor industry a vital component of the global economy. However, designing modern semiconductor chips is a costly, engineering-intensive process, further worsened with archaic tools. With the rising complexity of chips, time and cost to market continues to rise.

To address this, we're reimagining how chips are designed using modern advancements in AI to reduce time/cost to market dramatically. With a growing number of organizations designing their own chips and the rising consumption of semiconductors in day-to-day life, the work you will do will significantly impact the lives of many. We are super excited about what we are building; come join us!

Founder/Recruiter profiles:
Kartik Hegde