Job Description
Company Description
Kloth is building a radically new way to shop fashion online — one where an intelligent agent understands your body, intent, and taste, and helps you arrive at confident decisions instead of endless scrolling.
Fashion is a deeply sensory category. Size charts, filters, and static images fail because they don’t understand fit, feel, or context. Kloth’s agentic, context-aware shopping experience is designed to change that.
This is not a storefront. It’s an adaptive, confidence-driven shopping journey.
Founding Team
Khanaz K A — Founder & CEO
- 14+ years in e-commerce and product leadership. IIM Ahmedabad MBA.
- Former Amazon (Prime & Growth) product leader; ex-CPO at Simpl.
- Built and scaled checkout and growth systems used by 1000+ brands.
Prateek Chugh — Co-founder & CBO
- One of the strongest sales and growth leaders in India.
- Formerly led sales and growth at Oyo, Classplus, and Simpl.
- Deep experience building GTM engines from zero to scale.
Aditya Todi — Co-founder & CTO
- IIIT Hyderabad alumnus.
- Founding engineer across multiple startups.
- A first-principles thinker with savant-level coding ability and strong systems intuition.
The Role
We’re looking for a founding Machine Learning engineer to own and architect the core visual intelligence of Kloth. You will research, design, and build the proprietary generative models that allow users to visualize fit and style on their own bodies with high fidelity. This is a foundational applied research and engineering role with real ownership over the company’s core IP.
What You’ll Do
- Architect and build proprietary diffusion models for Fit Intelligent VTON.
- Read, adapt, and implement SOTA diffusion architectures (e.g., Stable Diffusion, Control Net, Lo RA/Fine Tuning) to solve complex garment warping and preservation challenges.
- Curate and process high-quality fashion datasets to fine-tune models for photorealistic texture and structural integrity.
- Optimize model inference for latency and cost without sacrificing generation quality.
- Bridge the gap between research and production—shipping models that work reliably for real users, not just in a notebook.
What We’re Looking For
You should have:
- 2-4 years of experience in Applied Machine Learning or Deep Learning.
- Strong grasp of Machine Learning fundamentals (probability, statistics, optimization).
- Hands-on experience with Generative AI and Computer Vision, specifically with Diffusion Models.
- Proficiency in Py Torch or Tensor Flow and the Hugging Face ecosystem.
- Experience reading academic papers and translating them into working code.
You should enjoy:
- Ambiguity
- Fast iteration
- Early-stage ownership
- Being accountable for outcomes, not just model metrics
Funding & Compensation
Kloth is currently pre-seed, with strong early momentum:
- Active conversations with pre-seed and seed investors
- Clear path to a Seed round over the next few months
Until the Seed round is closed:
- Cash compensation will be below market
- This is intentional and transparent
In return, you get:
- Significant equity ownership for joining at a truly early stage
- A chance to shape the product, culture, and technical foundation
- Real upside if we execute well (and we intend to)
This role is ideal for someone optimizing for ownership, learning, and long-term leverage, not short-term salary maximization.
What You’ll Get
- A true founding role with real influence and autonomy
- Meaningful equity in a company tackling a genuinely hard, valuable problem
- The opportunity to define a new category of shopping experience
- Close collaboration with product, engineering, and sales — no silos
- A culture that values clarity, craft, and first-principles thinking
This Is Not For You If
- You prefer using off-the-shelf APIs rather than building custom models
- You need perfectly clean, labeled datasets handed to you before you can start work
- You want a purely academic research role without the pressure to ship features
- You’re optimizing primarily for brand names or short-term cash
Kloth is building a radically new way to shop fashion online — one where an intelligent agent understands your body, intent, and taste, and helps you arrive at confident decisions instead of endless scrolling.
Fashion is a deeply sensory category. Size charts, filters, and static images fail because they don’t understand fit, feel, or context. Kloth’s agentic, context-aware shopping experience is designed to change that.
This is not a storefront. It’s an adaptive, confidence-driven shopping journey.
Founding Team
Khanaz K A — Founder & CEO
- 14+ years in e-commerce and product leadership. IIM Ahmedabad MBA.
- Former Amazon (Prime & Growth) product leader; ex-CPO at Simpl.
- Built and scaled checkout and growth systems used by 1000+ brands.
Prateek Chugh — Co-founder & CBO
- One of the strongest sales and growth leaders in India.
- Formerly led sales and growth at Oyo, Classplus, and Simpl.
- Deep experience building GTM engines from zero to scale.
Aditya Todi — Co-founder & CTO
- IIIT Hyderabad alumnus.
- Founding engineer across multiple startups.
- A first-principles thinker with savant-level coding ability and strong systems intuition.
The Role
We’re looking for a founding Machine Learning engineer to own and architect the core visual intelligence of Kloth. You will research, design, and build the proprietary generative models that allow users to visualize fit and style on their own bodies with high fidelity. This is a foundational applied research and engineering role with real ownership over the company’s core IP.
What You’ll Do
- Architect and build proprietary diffusion models for Fit Intelligent VTON.
- Read, adapt, and implement SOTA diffusion architectures (e.g., Stable Diffusion, Control Net, Lo RA/Fine Tuning) to solve complex garment warping and preservation challenges.
- Curate and process high-quality fashion datasets to fine-tune models for photorealistic texture and structural integrity.
- Optimize model inference for latency and cost without sacrificing generation quality.
- Bridge the gap between research and production—shipping models that work reliably for real users, not just in a notebook.
What We’re Looking For
You should have:
- 2-4 years of experience in Applied Machine Learning or Deep Learning.
- Strong grasp of Machine Learning fundamentals (probability, statistics, optimization).
- Hands-on experience with Generative AI and Computer Vision, specifically with Diffusion Models.
- Proficiency in Py Torch or Tensor Flow and the Hugging Face ecosystem.
- Experience reading academic papers and translating them into working code.
You should enjoy:
- Ambiguity
- Fast iteration
- Early-stage ownership
- Being accountable for outcomes, not just model metrics
Funding & Compensation
Kloth is currently pre-seed, with strong early momentum:
- Active conversations with pre-seed and seed investors
- Clear path to a Seed round over the next few months
Until the Seed round is closed:
- Cash compensation will be below market
- This is intentional and transparent
In return, you get:
- Significant equity ownership for joining at a truly early stage
- A chance to shape the product, culture, and technical foundation
- Real upside if we execute well (and we intend to)
This role is ideal for someone optimizing for ownership, learning, and long-term leverage, not short-term salary maximization.
What You’ll Get
- A true founding role with real influence and autonomy
- Meaningful equity in a company tackling a genuinely hard, valuable problem
- The opportunity to define a new category of shopping experience
- Close collaboration with product, engineering, and sales — no silos
- A culture that values clarity, craft, and first-principles thinking
This Is Not For You If
- You prefer using off-the-shelf APIs rather than building custom models
- You need perfectly clean, labeled datasets handed to you before you can start work
- You want a purely academic research role without the pressure to ship features
- You’re optimizing primarily for brand names or short-term cash
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