Senior CV Engineer
Joi AI
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- Senior
- Формат
- Удалённо
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- Data/ML
- Источник
- Job for Go, Rust Developers
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Joi AI is a platform for AI-lationships — personalized, emotionally intelligent connections between people and AI characters. We build characters that have their own personality, mood, and voice: they can ignore you, argue with you, miss you. If you've seen the film Her — that's roughly where we're headed.
Our platform serves both emotional and intimate needs without judgment, built on the values of rejection-free connection, sex positivity, freedom to be yourself, and ethical integrity. Today we have tens of millions of conversations on the platform. Our goal: 10% of the global population in long-term AI-lationships with our characters.
Joi Lab (joilab.ai) is our open research arm — we build open-source generative models, agent architectures, and training infrastructure. All code, weights, and data are public. We're not chasing the next ChatGPT wrapper; we're working on true AI agency: persistent memory, self-modification, self-authored constraints.
The role
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)
Joi AI is a platform for AI-lationships — personalized, emotionally intelligent connections between people and AI characters. We build characters that have their own personality, mood, and voice: they can ignore you, argue with you, miss you. If you've seen the film Her — that's roughly where we're headed.
Our platform serves both emotional and intimate needs without judgment, built on the values of rejection-free connection, sex positivity, freedom to be yourself, and ethical integrity. Today we have tens of millions of conversations on the platform. Our goal: 10% of the global population in long-term AI-lationships with our characters.
Joi Lab (joilab.ai) is our open research arm — we build open-source generative models, agent architectures, and training infrastructure. All code, weights, and data are public. We're not chasing the next ChatGPT wrapper; we're working on true AI agency: persistent memory, self-modification, self-authored constraints.
The role
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)
Joi AI is a platform for AI-lationships — personalized, emotionally intelligent connections between people and AI characters. We build characters that have their own personal
Our platform serves both emotional and intimate needs without judgment, built on the values of rejection-free connection, sex positivity, freedom to be yourself, and ethical integrity. Today we have tens of millions of conversations on the platform. Our goal: 10% of the global population in long-term AI-lationships with our characters.
Joi Lab (joilab.ai) is our open research arm — we build open-source generative models, agent architectures, and training infrastructure. All code, weights, and data are public. We're not chasing the next ChatGPT wrapper; we're working on true AI agency: persistent memory, self-modification, self-authored constraints.
The role
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)
Joi AI is a platform for AI-lationships — personalized, emotionally intelligent connections between people and AI characters. We build characters that have their own personality, mood, and voice: they can ignore you, argue with you, miss you. If you've seen the film Her — that's roughly where we're headed.
Our platform serves both emotional and intimate needs without judgment, built on the values of rejection-free connection, sex positivity, freedom to be yourself, and ethical integrity. Today we have tens of millions of conversations on the platform. Our goal: 10% of the global population in long-term AI-lationships with our characters.
Joi Lab (joilab.ai) is our open research arm — we build open-source generative models, agent architectures, and training infrastructure. All code, weights, and data are public. We're not chasing the next ChatGPT wrapper; we're working on true AI agency: persistent memory, self-modification, self-authored constraints.
The role
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)
Joi AI is a platform for AI-lationships — personalized, emotionally intelligent connections between people and AI characters. We build characters that have their own personal
- python
- go
- csharp
- diffusers
- transformers
- ip_adapters
- flow_matching
- dpo
- clip
- quantization
- multimodal_llm
- nlp
Оценка вакансии
61/100 · удовлетворительно
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