Applied ML Researcher
- Conduct in-depth research on advanced techniques such as Supervised Fine Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) to optimize the alignment of Language Models (LLMs).
- Collaborate effectively with both technical and non-technical stakeholders, ensuring a seamless alignment of LLMs for specific use cases.
- Formulate and implement robust strategies to guarantee LLM alignment with product feature goals, with a specific emphasis on preventing hallucinations.
- Systematically gather requirements from diverse teams, including data engineering, product features, research, and evaluation, to develop sophisticated modeling, prompting, and data transformation techniques for LLM refinement.
- Strong understanding of machine learning principles, especially in the context of LLMs.
- Knowledgeable about different LLM approaches for aligning LLMs (SFT, RLHF, etc.).
- Capability to own and pursue a research agenda, including selecting impactful research problems and autonomously executing projects.
- More than 5 years of proficiency in Python, including machine learning packages such as Jax/Tensorflow or PyTorch.
- Experience in building deep learning solutions at scale.
- BS/BA or an equivalent degree in computer science or a related field (PhD preferred).
- Opportunity to work on cutting-edge projects.
- Work with a highly motivated and dedicated team.
- Competitive salary.
- Flexible schedule.
- Benefits package, including but not limited to: medical, dental, vision, etc.
- Corporate social events.
- Professional development opportunities.
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