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Machine Learning Engineer

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 a16z and NEA, we’ve raised a $30M Series A and built a deeply technical, mission-driven team of 15. Our goal is to empower one engineer to work at the speed of a hundred.

The Role
We are looking for a Machine Learning Engineer to design, train, and deploy frontier multimodal models for 3D CAD. In this role, you will work end to end on challenges like developing novel representations for complex 3D data, training models that generate structured design outputs, building scalable data pipelines, and delivering low-latency inference in production.

You will collaborate closely with AI research, product, and design to rapidly prototype and productionize features, helping define what state-of-the-art generative design looks like.

What We’re Looking For

  • 2–7 years of experience in AI/ML with strong CS fundamentals

  • Proven expertise in generative models (diffusion, autoregressive, Transformers)

  • Direct, hands-on experience designing, training, and deploying models in production

  • Proficiency in Python and PyTorch

  • Experience taking ML projects from prototype to production

  • Understanding of the ML lifecycle and infrastructure

Bonus
Experience with CAD, 3D geometry, graphics, differentiable programming, or large-scale data pipelines

Why Backflip
Repeat founders in 3D printing/CAD with a prior $2.1B exit; backed by a16z and NEA. In-person in SF with a tight-knit, world-class team building the future of 3D design.

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CEO of Backflip
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Mike Barile
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Average salary estimate

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
August 11, 2025
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