Senior CV Engineer

We're looking for a Principal/Senior+ ML Engineer with deep expertise in Computer Vision and generative models. You'll own the CV direction end-to-end: from training diffusion models and designing architectures to building the validation pipeline and shaping the team roadmap.

This is a hands-on role. We move fast and expect you to go from idea to deployed result in days, not months.

WHAT YOU’LL DO

• Train and fine-tune generative models (text2image, image2image, video2image, IP-adapters) to produce photorealistic and stylized visuals

• Work with image classifiers, rankers, and image/video captioning models that understand visual context

• Track cutting-edge CV research and open-source developments; translate them into a CV roadmap for the ML team

• Build and own the iterative model improvement process, including quality validation systems for CV outputs

• Optimize inference performance: diffusion optimization, quantization, kernel and framework-level work

• Optionally: train multimodal AI companions that combine CV and NLP for deeper visual understanding

WHAT WE’RE LOOKING FOR

• 5+ Years of experience training diffusion models and modifying their architectures

• Proficiency with diffusers and transformers libraries

• Hands-on experience with IP-adapters

• Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems is an advantage

Nice to have:

• Flow matching training

• Diffusion model distillation

• DPO and other text2image fine-tuning approaches

• Text2video and CLIP fine-tuning

• Experience with multimodal LLMs

• NLP / LLM training and chatbot development background

WHY JOI

• You're joining the company that's redefining what relationships with AI look like — before the category gets crowded

• We move fast: ideas become live experiments in days, not quarters

• Joi Lab gives you access to frontier model research — open-source, no corporate gatekeeping

• Small team, high trust, high ownership — you'll see the direct impact of your work

• Work from anywhere with our fully remote, full-time setup.

• Standard 28-day annual leave policy.

• 7 yearly wellness days for life admin or recovery—no sick notes needed.

• Referral rewards up to $5000 for helping us hire top talent.

• We cover 50% of costs for training, conferences, and global meetups.

• Subsidized English classes through our corporate discount.

• Health support: receive up to $1,000 annually for medical fees or private insurance if you aren't on the group plan.

• Optimized workspace: we equip you in-office or provide $1000 every three years to perfect your home office or co-working setup.

• Peer-to-peer recognition: earn gratitude bonuses and swap them for swag, massage vouchers, or team adventures.

NEXT STEPS

• Intro call — conversation with the Recruiter, includes a short live technical quiz (5 questions, camera on — no AI tools)

• Technical interview — live coding session with AI tools allowed, plus ML and ML system design questions with CPO and CTO (90 min)

• Final interview — culture fit and team alignment