Lead Machine Learning Engineer; Geometry​/3D​/Simulation

Lead Machine Learning Engineer – Generative AI for the Physical World

Base pay range: $/yr - $/yr

A rare opportunity has emerged for a visionary Lead Machine Learning Engineer to build the core intelligence for a stealth‑mode, well‑funded AI company. This foundational leadership role is for someone passionate about teaching machines to understand and engineer the physical world, moving beyond language and into the complex domain of 3D geometry and physics.

This is a chance to define a new category of software from the ground up. You will have the autonomy to set the technical vision, build a world‑class team, and solve fundamental AI challenges that directly impact how next‑generation products are designed and built. You will be instrumental in creating the “brain” that powers a revolutionary platform.

My client is a pioneering startup developing a new class of generative AI. Their platform uses autonomous agents to design, test, and optimize complex physical systems, aiming to radically accelerate today’s slow and manual engineering cycles. Backed by top‑tier investors, the company is positioned to become a leader in the application of AI to advanced hardware design and manufacturing.

As the Lead Machine Learning Engineer, you will architect the company’s entire ML strategy. You will lead the research and development of the core models that allow AI agents to perceive and reason about 3D geometry. Your primary focus will be on defining the technical roadmap, hiring and mentoring a high‑performing team, and guiding the development of novel techniques in geometric deep learning and multimodal reasoning.

• Proven experience leading machine learning teams, setting technical direction, and mentoring senior engineers.
• Deep expertise in 3D perception, scene understanding, or geometric deep learning (e.g., from robotics, AV, AR/VR).
• A strong track record of architecting and deploying complex ML systems from research to production.
• Fluency with modern ML frameworks (e.g., PyTorch) and models for geometric data (GNNs, 3D CNNs, NeRFs).
• Ability to translate ambiguous product goals into a concrete technical roadmap and execute effectively.

• A PhD in a relevant field such as Computer Science or Robotics.
• A background in mechanical, aerospace, or a related engineering discipline.
• Experience integrating perception models with LLMs or other agent‑based systems.
• A history of publications in top‑tier machine learning conferences.
• Up to $260,000 base
• Meaningful equity
• A key leadership role with the autonomy to shape the company’s technical culture and direction.
• The opportunity to solve high‑impact problems at the intersection of AI and engineering.

If you are interested in this role, please apply with your resume through this site.

Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio‑economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment.

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