Generative AI Engineer (Remote)

About the Company

A Y Combinator-backed biotech startup, supported by Sequoia Capital, is developing generative AI technology to help researchers create accurate scientific visuals. Its platform uses AI to generate scalable vector graphics, supporting clearer and more efficient scientific communication.

About the Role

The company is seeking a Senior Data Engineer to contribute to the development of advanced generative AI systems. The role description focuses on machine learning architecture, multimodal AI pipelines, and the deployment of generative models that power scientific visualization tools.

This position offers the opportunity to work with an experienced engineering and product team, take ownership of technical decisions, and help shape the long-term direction of the ML platform in a remote-first environment.

Key Responsibilities

• Design and implement advanced machine learning architectures for vector graphics generation.
• Lead the end-to-end development of generative AI systems, from prototyping to scalable deployment.
• Apply foundational model techniques to support scientific communication tools.
• Collaborate with engineers and product specialists to develop AI-powered solutions.
• Deploy multimodal AI pipelines and maintain reliable, production-level performance.
• Drive technical decisions and long-term planning for the machine learning platform.
• Evaluate and integrate open-source tools where appropriate.
• Participate in hackathons and in-person team events as part of the remote-first work culture.

Required Qualifications

• Strong programming skills in Python.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Demonstrated experience building and scaling generative models, including foundational models or text-to-image systems.
• Expertise in generative AI, foundational models, or text-to-image technology.
• Experience deploying multimodal AI systems in production environments.
• Ability to make practical decisions between developing custom solutions and using existing tools.
• Strong ownership mindset and the ability to lead model architecture decisions independently.

Preferred Qualifications

• A bachelor's degree in Computer Science or a related field; a master's degree or PhD from a top-tier academic institution is strongly preferred.
• Experience working in both startup and large technology company environments.

Location and Employment Type

• Remote – United States or Canada
• Full-time
• Mid-Senior level

Salary and Benefits

• Annual salary: $150,000–$300,000
• Benefits package
• Remote work
• Pet benefits
• Paid time off (PTO)
• 401(k)
• Growth opportunities

Equal Opportunity Employer

Jobot is an Equal Opportunity Employer. All qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws. Background checks may be conducted with candidate authorization, in accordance with applicable laws.