SuperLiving
SuperLiving Research Scientist
SuperLiving is an AI-powered preventive health platform that provides personalized lifestyle coaching and habit-building tools tailored for the Indian mass market.
Get represented
5 minutes to evaluate. 6 months of representation.
What is SuperLiving?
SuperLiving is India's first AI-powered lifestyle companion app, designed specifically for the needs of 'Bharat' and Tier 2/3 cities. It offers hyper-personalized guidance on nutrition, fitness, sleep, and mental wellness through a 24/7 AI companion and bite-sized vernacular content.
You'll be a good fit if you have
- Mastery of frameworks such as PyTorch or JAX, with hands-on experience managing distributed training.
- A minimum of 4+ years of professional experience in AI/ML.
- Proven expertise in tuning large models (7B+ parameters) and a deep understanding of LLM internals, evaluation benchmarks, and safety protocols.
- Experience in implementing advanced fine-tuning strategies and parameter-efficient tuning techniques.
- Familiarity with health-specific AI challenges and personalized recommendation systems is a strong plus.
Key Responsibilities
- Architect and execute domain-specific fine-tuning strategies such as Supervised Fine-Tuning (SFT) and advanced alignment techniques (RLHF, DPO, or PPO) on 7B–30B parameter models for health-specific reasoning.
- Implement parameter-efficient tuning methods (LoRA, QLoRA, and other PEFT techniques) to optimize performance while reducing computational footprint.
- Design automated evaluation frameworks that enforce strict health safety standards and uphold the brand voice.
- Build multi-stage Retrieval-Augmented Generation (RAG) systems integrating vector databases and graph-based retrieval to ground models in personalized user history and verified medical knowledge.
- Develop multi-hop reasoning techniques to seamlessly connect diverse health signals into cohesive, outcome-driven plans.
- Manage large-scale, distributed training across GPU clusters using frameworks like PyTorch or JAX.
- Collaborate with engineering teams to optimize models for production deployment through techniques such as quantization, pruning, and knowledge distillation.
- Experiment with multimodal integration to process text, images, and structured biometric data simultaneously.
- Design active learning feedback loops that continuously enhance the AI’s personalization capabilities.
This is not a cold application
You're in the top 1%. We represent you to SuperLiving. Not the other way around.
Health for the Masses
Democratizing wellness through affordable, hardware-free technology.
Why SuperLiving
Most health platforms focus on expensive wearables and supplements, creating a barrier for 500 million smartphone users in India's smaller towns.
SuperLiving breaks this mold by using on-device AI analyzing voice, camera, and behavior to provide world-class health coaching for as low as ₹99, making lifestyle change truly inclusive.
Preventive health shouldn't be a luxury. It should be a habit.
Accelerate economic growth by connecting every talent to the work they are meant to do
Hiring got broken. Too focused on companies. Not enough on people. We're fixing it.
Human judgment plus AI. Talent first.
Built By
We built Grapevine. More than 1 million engineers use it to share real talk about companies, salaries, culture. We saw the problem up close.
Great engineers lost in broken systems.
So we built Round1. Backed by Peak XV and Kae Capital. One mission: connect exceptional engineers to work that matters.