AI Scientist

Weekday AI (YC W21)

0 years

0 Lacs

navi mumbai maharashtra india

Posted:4 days ago| Platform:

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Skills Required

ai cutting reinforcement learning research experimentation documentation model development pytorch tensorflow tokenization design data optimization scaling strategies training vision engineering latency efficiency constraints ml cuda aws gcp azure

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 0 yearsLocation: India, Navi MumbaiJobType: full-time

Requirements

Advanced AI Research
Explore and experiment with cutting-edge architectures in LLMs, diffusion models, transformers, multimodal systems, and reinforcement learning.
Reproduce top-tier research papers and extend them through original hypotheses and experimentation.
Contribute to internal research documentation, benchmarks, and reproducible experiment pipelines.
Model Development & Optimization
Train, fine-tune, and optimize deep learning models using PyTorch, TensorFlow, or JAX.
Work on tokenization design, data augmentation, loss function optimization, and model scaling strategies.
Build high-performance training pipelines using GPUs, TPUs, and distributed compute systems.
Applied AI & Deployment
Translate research concepts into production-ready, high-impact AI models.
Develop robust pipelines for large-scale text, vision, structured, or multimodal datasets.
Partner with engineering teams to integrate AI models into production environments.
Experimentation & Evaluation
Design rigorous experiments grounded in scientific and statistical methods.
Benchmark models across accuracy, latency, memory efficiency, robustness, and real-world constraints.
Conduct detailed ablation studies and communicate findings with clarity and technical depth.

Required Qualifications

B.Tech from IITs or other Tier-1 engineering institutions.

Preferred Qualifications

Experience working with LLMs, diffusion models, GANs, or transformer-based systems.
Research internships, academic projects, or publications in AI/ML.
Experience with GPU acceleration, CUDA, distributed training, or frameworks like Ray.
Contributions to open-source machine learning libraries.
Familiarity with cloud ML environments (AWS, GCP, Azure).

What Makes This Role Exciting

Opportunity to work on high-impact, research-grade AI challenges.
Access to advanced compute infrastructure and guidance from experienced researchers.
Potential to publish research outputs internally or externally.
Fast-moving environment built for ambitious, innovation-driven technologists

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