Job Opportunity
We are seeking a highly skilled Machine Learning Researcher to contribute to our cutting-edge research projects. You will be responsible for building experimental prototypes, documenting your findings through technical publications, and advancing the field of AI development.
This is an exciting opportunity to work in a dynamic research environment and apply your expertise in machine learning research to drive innovation.
Key Responsibilities
- Research and implement advanced techniques like LoRA, Fine-Tuning, Transfer Learning, RLHF, GRPO, and emerging training methodologies in experimental settings.
- 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.
Required Skills and 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.Understanding math is a huge plus; topics like topology and linear algebra are very helpful on the job.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.Candidate Requirements
A strong background in machine learning research or related fields.Excellent programming skills, preferably in Python.Proficiency in research-essential libraries and frameworks.Experience with ML research frameworks and text embeddings.Strong analytical and research skills.Excellent written and verbal communication skills.Interview Process
Phone Screen | 10 minsTechnical Research Interview | 1 hour