Senior Machine Learning Engineer

Highlights

• Build an AI media creation platform spanning text, image, video, 3D and audio.
• Lead critical projects from research and experimentation to production deployment.
• Build evaluation frameworks and internal tooling for model validation.

What they offer

• Generous paid time off - vacation, sick days, public holidays
• Meaningful stock options
• Remote-first setup - work from home
• Flexible hours outside core collaboration blocks
• Paid family leave - maternity, paternity and caregiver time
• Twice-yearly company retreats

Ideal candidate

Hands-on ML builder with deep model internals experience and high ownership who thrives in fast-paced startups. You care about taking research to reliable production and mentoring others to raise the engineering bar.

Requirements

• Deep, hands-on expertise in Python and PyTorch beyond standard framework usage
• Demonstrated experience building ML applications and models, not just deploying existing ones
• Hands-on experience writing GPU kernels in CUDA/C++ or Triton
• Low-level experience with model internals, e.g. diffusion model architectures
• Experience with torch.compile or comparable low-level PyTorch tooling
• Practical experience fine-tuning large models as a repeatable service (LoRA, PEFT, adapters)
• Real, verifiable project history, e.g. GitHub repos
• High ownership and comfort in a fast-paced startup environment