Principal AI Engineer / ML Engineer at Backflip
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Nov, 25

Salary

0.0

Posted On

06 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT BACKFLIP

Backflip (backflip.ai) is a generative AI startup revolutionizing how engineers and designers create for the physical world. Founded by the team behind Markforged, we’re building AI-first tools that make 3D CAD as intuitive and fast as sketching on paper.
Backed by Andreessen Horowitz and NEA, we’ve raised a $30M Series A and built a deeply technical, mission-driven team of 15. Our goal: empower one engineer to work at the speed of a hundred.

Responsibilities

THE ROLE

We’re hiring a Principal AI/ML Engineer—a top-tier individual contributor who sets the technical bar, shapes our AI direction, and tech-leads critical projects without direct reports. You’ll architect, prototype, and productionize multimodal generative systems that power our CAD engine.

WHAT YOU’LL DO

  • Co-define the technical strategy for generative modeling with the CTO and Head of AI; influence roadmap through hands-on prototypes and data-driven recommendations.
  • Architect end-to-end systems across LLMs, diffusion, and retrieval; design interfaces between perception, reasoning, and CAD-specific geometry modules.
  • Tech-lead projects: drive design reviews, create implementation plans, de-risk research, and ensure high-quality, shippable outcomes.
  • Own the model lifecycle: dataset curation, training/eval, optimization, low-latency inference, monitoring, and continuous improvement.
  • Raise the bar: establish coding standards, reproducible experimentation, benchmarking, and model/infra observability.
  • Mentor and unblock engineers and researchers (guidance, pairing, design reviews) while remaining an IC with no direct reports.
  • Collaborate with product/design to translate ambiguous user needs into concrete AI capabilities; instrument and iterate quickly.
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