AI/ML Research Scientist/Engineer(Must have experience in Generative AI/LLM related products)

Company Overview:

Collinear AI is a well-funded, VC-backed stealth startup based in the Bay Area, specializing in AI Alignment. With a team boasting expertise from Stanford, Hugging Face, and Salesforce, we are dedicated to customizing open-source LLMs to reflect enterprise-specific values and offerings, moving beyond generic ChatGPT-style responses to unlock the full potential of AI for businesses.

About Collinear AI:

At Collinear AI, we are committed to empowering enterprises to harness the power of AI by tailoring open-source LLMs to authentically reflect their unique values and offerings. Through this customization, we aim to transcend existing limitations and redefine the boundaries of AI capabilities.

Location:

Mountain View, CA

Experience:

Minimum 4 years of experience with a Masters Degree.

A PhD from a top-tier institute is an added advantage.

*Key Responsibilities: *

Understand: Assess the problem a customer is facing with their current or upcoming implementation of an AI Chatbot.

Optimize: Use your LLM knowledge and RLHF expertise to optimize our SaaS product for the customer’s industry vertical and unique needs.

Develop and Deploy: Craft a solution for the customer and deploy it on their server.

Support: Collaborate with the team and customer to ensure the delivery of a high-quality product and continuous support.

Who We're Looking For:

AI Virtuoso 🤖: With over 4 years of mastery in machine learning engineering, you're not just familiar with the realm of ML and language models; you've shaped it. From concept to execution, you're at the forefront of the AI revolution.

Innovative Entrepreneur 🚀: Thriving in the ever-evolving startup ecosystem, you're not only acquainted with cutting-edge engineering practices but also excel in them. Your agility and precision make you an asset in high-stakes environments.

Code Artisan 💻: Your expertise goes beyond mere coding; you craft elegant, robust machine learning solutions fit for the real world. Your code isn't just functional; it's a testament to your skill and vision. You have a strong knowledge of machine learning fundamentals and deep learning frameworks (e.g.,
PyTorch, Transformers, Scikit-learn, NumPy, Pandas).

Collaborative Leader 🤝: You're the team member everyone values – approachable, meticulous, with a flair for leadership. You're not just part of the team; you elevate everyone around you.

Deployment Wizard ⚙️: When it comes to deploying large language models, you're the go-to expert. Your knowledge in deploying these systems is not just deep – it's practical.

Continuous Learner 📚: Always eager to learn and apply new methods in ML, whether it's about data processing, CUDA, or low-level optimization.

Research Background 🧪(Good to have): Your research isn't just academic; it's groundbreaking. You delve into uncharted territories of LLMs, exploring and innovating in instruction tuning, reinforcement learning, and multimodal applications with publications at top conferences like ACL, EMNLP, NeurIPS, ICLR, ICML.

What we offer:

Compensation: The annual salary/OTE range for the target level for this role is $120,000-$220,000 + target equity + benefits (including medical, dental, and vision)

Perks & Benefits:

Your Launchpad to Success 🎉

Rewarding Compensation 💵: Not only do we offer a competitive salary, but we also recognize your invaluable contribution with substantial early-stage equity. You're not just an employee; you're a key player in our journey.

Adaptive Workspace 🏕️: Our hub is in Mountain View, and we are primarily in-person with few days remote each week. However, we do make rare exceptions for candidates not located in the Bay Area.

Health is Paramount 🩺: We prioritize your wellbeing with top-tier medical, dental, and vision insurance. Your health is our wealth.

Trailblazing Role 👑: Join us and not only be a part of our well-funded, high-potential startup but also shape an industry where few have left their mark. This isn't just a job; it's a legacy.

Join the AI Elite ✨: Are you ready to stand among the best in AI? Embark on this journey with us, grow, and redefine the future.