About Collinear AI:
Collinear AI is a VC-backed stealth startup helping enterprises adopt Large Language Models (LLMs) by customizing them for their specific needs and values. Our product, AI Alignment and Customization, empowers businesses to implement open-source LLMs by fine-tuning them for specialized use cases. We are pioneering advancements in AI, focusing on Generative AI, Reinforcement Learning, and NLP technologies.
About the Role:
As an Engineering Lead at Collinear, you will own key areas of our AI product development, manage cross-functional teams, and lead cutting-edge engineering projects. You'll work closely with customers, product, GTM, and operations to build and support models for AI workflows and advanced reasoning capabilities. This is a unique opportunity to shape the future of AI in a rapidly growing and dynamic company.
Key Responsibilities:
1. Head a group of 4-5 ML Engineers with a strong background in LLMs and align them to the short term and long term engineering agenda.
2. Lead and own large-scale areas of Collinear’s AI product development, particularly related to LLMs, Generative AI, and NLP.
3. Collaborate cross-functionally with internal teams and external customers to define, build, and support model capabilities.
4. Design, develop, and implement AI solutions, covering the full product lifecycle from concept to production.
5. Build end-to-end features, including front-end, back-end, and system design, while debugging and testing complex AI models.
6. Deliver experiments with high velocity and ensure quality output to engage customers.
7. Foster and influence the culture, values, and processes of a growing engineering team.
8. Mentor and inspire less experienced engineers to elevate team performance and knowledge sharing.
9. Work closely with the Product and GTM teams to bring AI models to market and ensure alignment with business needs.
Requirements:
1. 7+ years of relevant experience in AI, Machine Learning, or a related field, with at least 2 years of experience working on agentic or AI-related products.
2. Proven track record of shipping high-quality AI products and features at scale, especially in LLM or NLP-related projects.
3. Strong cross-functional collaboration experience, working with engineering, product, and GTM teams.
4. Ability to turn business ideas and product concepts into scalable engineering solutions.
5. Comfortable working in a fast-paced, startup environment with the ability to pivot quickly as needed.
6. Excellent problem-solving skills and the ability to work both independently and as part of a team.
7. A passion for pushing the boundaries of AI and innovation.
Why Join Us:
Be a part of a rapidly growing, cutting-edge AI company that is defining the future of LLMs and enterprise AI customization.
Work in a dynamic, hybrid environment with a close-knit team based in Mountain View, CA.
Competitive compensation packages, including base salary, equity, and comprehensive benefits.
Learning and development opportunities, along with generous PTO to ensure work-life balance.
Be a part of a mission-driven team focused on pushing the boundaries of AI to solve real-world enterprise challenges.
Perks & Benefits:
1. Rewarding Compensation : Not only do we offer a competitive salary of $180,000- $2,20,000, 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.
2. 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.
3. Health is Paramount ????: We prioritize your wellbeing with top-tier medical, dental, and vision insurance. Your health is our wealth.
4. 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.
5. 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.
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