Job Details

Machine Learning Engineer - 3D Perception / AI Agents (Onsite/SF)

Machine Learning Engineer - 3D Perception / AI Agents (Onsite/SF)

This range is provided by Attis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Direct message the job poster from Attis

Are you a Machine Learning Engineer passionate about teaching AI to see and understand the physical world?

My client, a pioneering and well-funded AI startup, is building the first generation of autonomous engineering agents. They are seeking a brilliant ML Engineer with a background in 3D perception to build the "eyes" for their AI systems. You will be responsible for creating the core models that allow their agents to interpret complex 3D geometry, understand physical structures, and make intelligent engineering decisions. This is a foundational role where you will shape the future of AI in engineering.

• Package: Competitive salary between $200,000 - $250,000, depending on experience. As a key early-stage hire, you will also earn a generous equity package, sharing directly in the company's success.
• World-Class Team & Backing: Working on-site in San Francisco (Union Sq area), 5 days a week, alongside a mission-driven team of experts backed by top-tier venture capitalists, with a culture of deep technical collaboration and ambition.
• Foundational Impact: This isn't just another ML role. You will be building the core perception system from the ground up, a critical component that enables the company's entire vision.
• Define a New Category: You'll be at the forefront of a new wave of AI, creating technology that goes far beyond today's design automation tools and establishing a new category of engineering software.
• Solve Unprecedented Problems: Work directly on high-impact challenges in industries like aerospace, automotive, and advanced manufacturing, applying cutting-edge research to real-world product design.

The company

My client is on a mission to revolutionize how complex products are designed and built. They are building AI agents that can reason about physics, explore design trade-offs, and autonomously generate high-performance solutions. Backed by leading investors and partnered with industry leaders, this company is creating AI-native tools to solve some of the most challenging problems in the physical world. They foster a fast-paced, innovative, and deeply technical culture.

The role

As a Machine Learning Engineer focused on perception, you will:

• Design and build the core perception models that extract structure, semantics, and key features from 3D data (CAD, meshes, point clouds).
• Create novel geometric representations and embeddings that AI agents can use for reasoning about physics and design constraints.
• Engineer multimodal pipelines that fuse 3D data with other inputs (e.g., text from language models) to provide rich context to the agents.
• Own the end-to-end ML lifecycle, from curating unique engineering datasets to deploying scalable models.
• Collaborate closely with agent, frontend, and infrastructure teams to integrate your perception systems into the core product.
• Research and implement state-of-the-art techniques in geometric deep learning, 3D transformers, and diffusion models.

The essential requirements

• Professional experience in 3D perception or scene understanding, ideally from domains like robotics, autonomous vehicles, or AR/VR.
• Strong ML engineering skills with proficiency in Python and PyTorch (or a similar deep learning framework).
• Deep familiarity with 3D data formats (e.g., meshes, point clouds, SDFs, CAD files).
• Knowledge of neural network architectures for geometric data (e.g., PointNet++, 3D CNNs, GNNs, NeRFs).
• Proven experience building and deploying ML models from data curation to production inference.
• A proactive and adaptable mindset, comfortable shipping solutions in a fast-paced, ambiguous startup environment.

What will make you stand out

• An academic or professional background in mechanical, aerospace, or robotics engineering.
• Experience integrating perception models with Large Language Models (LLMs), planners, or task agents.
• Prior work with engineering simulation data (e.g., CFD, FEA) or CAD software.
• Experience with multi-agent systems, reinforcement learning, or real-time perception.
• A genuine passion for pushing the boundaries of how AI understands and interacts with the physical world.

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

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Disclaimer

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. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Engineering, and Other

• Industries

  Defense and Space Manufacturing, Space Research and Technology, and Robotics Engineering

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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