Machine Learning Researcher

₹15,000-20,000/month

This is an exciting opportunity to work in a dynamic research environment and contribute to advancing the field of AI development. This is a completely remote role where you will work on your own schedule. No micro-management, promise.

You will be learning cutting-edge techniques and contributing to original research, so don't worry if you do not meet all qualifications. As long as you can learn, adapt, and think critically about research problems, this will be a valuable experience for you.

Responsibilities

• Research and implement advanced techniques like

  LoRA, Fine-Tuning, Transfer Learning, RLHF, GRPO,

  and emerging training methodologies in experimental settings.
• Read and analyze recent research papers, reproduce key findings, and contribute to our understanding of state-of-the-art AI concepts.
• Design and conduct experiments for client-facing research projects under guidance of senior researchers.
• Document your research journey by writing technical articles and research summaries that explain complex AI topics and your experimental findings.
• Contribute to model training pipelines and evaluate novel approaches for improving model performance.

Qualifications

• Strong foundation in machine learning research or similar experience, with focus on NLP and deep learning.
• Excellent programming skills with proven experience implementing Python-based research solutions.
• Proficiency with research-essential libraries (NumPy, pandas, scikit-learn) and experimental frameworks.
• Experience with ML research frameworks (PyTorch, TensorFlow, Keras), text embeddings, and transformer architectures.
• No degree required - if you have research aptitude and technical skills, we'd love to work with you.
• Excellent written and verbal communication skills for research documentation.
• Strong analytical and research methodology skills to design experiments and validate findings.
• Ability to read, understand, and implement techniques from AI research papers.

Bonus Experience

• LLMs and research tooling:

  Advanced agents, GPT variants, Langchain, HuggingFace research tools, etc.

• Modern training techniques:

  Reinforcement Learning from Human Feedback (RLHF), Constitutional AI, preference learning.
• Deep learning research, reinforcement learning, generative models, and multi-modal AI systems.

Interview Process (<3 days)

• 1 x Phone Screen | 10 mins
• 1 x Technical Research Interview | 1 hour

Note: This is a 3-month research position, with the potential to transition into a full-time research role.

We don't hire based on DSA. You'll be a good fit if you're passionate about AI research and capable of building experimental applications and conducting meaningful research. We prefer people who are strong in AI fundamentals, research methodology, and open to exploring any framework/library as required for their research.

Degrees are redundant.