AI/ML Manager(Must have experience in Generative AI/LLM related products)

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:

• 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.
• Lead and own large-scale areas of Collinear’s AI product development, particularly related to LLMs, Generative AI, and NLP.
• Collaborate cross-functionally with internal teams and external customers to define, build, and support model capabilities.
• Design, develop, and implement AI solutions, covering the full product lifecycle from concept to production.
• Build end-to-end features, including front-end, back-end, and system design, while debugging and testing complex AI models.
• Deliver experiments with high velocity and ensure quality output to engage customers.
• Foster and influence the culture, values, and processes of a growing engineering team.
• Mentor and inspire less experienced engineers to elevate team performance and knowledge sharing.
• Work closely with the Product and GTM teams to bring AI models to market and ensure alignment with business needs.

Requirements:

• 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.
• Proven track record of shipping high-quality AI products and features at scale, especially in LLM or NLP-related projects.
• Strong cross-functional collaboration experience, working with engineering, product, and GTM teams.
• Ability to turn business ideas and product concepts into scalable engineering solutions.
• Comfortable working in a fast-paced, startup environment with the ability to pivot quickly as needed.
• Excellent problem-solving skills and the ability to work both independently and as part of a team.
• 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:

• Rewarding Compensation: Not only do we offer a competitive salary of $180,000- $220,000, but we also recognize your invaluable contribution with substantial early-stage equity.
• Adaptive Workspace: Our hub is in Mountain View, and we are primarily in-person with a 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.
• Trailblazing Role: Join us and shape an industry where few have left their mark.
• 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.

Job Type: Full-time

Pay: From $180,000.00 per year

Benefits:

• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance

Compensation Package:

• Stock options

Schedule:

• Day shift
• Monday to Friday

Education:

• Master's (Required)

Experience:

• Generative AI: 7 years (Required)
• Machine learning: 7 years (Required)
• Natural language processing: 7 years (Required)

Ability to Commute:

• Mountain View, CA 94043 (Required)

Work Location: Hybrid remote in Mountain View, CA 94043

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