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Post-Training Research Scientist
2 months ago
Essential AI is dedicated to enhancing the synergy between humans and machines, unlocking collaborative capabilities that surpass current achievements. We believe that creating exceptional user experiences necessitates innovation across all levels, from user interface to the underlying models that deliver optimal user value.
Our vision is to assemble a focused team of driven individuals capable of achieving significant breakthroughs. We are in the process of building a top-tier, multi-disciplinary team eager to tackle challenging real-world AI issues. Our funding comes from reputable sources including March Capital, Thrive Capital, AMD, Franklin Venture Partners, Google, KB Investment, and NVIDIA.
Role ResponsibilitiesThe Post-Training Research Scientist will spearhead our research initiatives aimed at enhancing the efficiency, performance, and reliability of our models. This role involves cross-functional collaboration to devise innovative techniques for fine-tuning, adapting, and updating models to maximize business value for our clients and improve our offerings.
Key Responsibilities Include:- Leading or contributing significantly to research initiatives that enhance the practical capabilities of our models.
- Working closely with product teams to bridge the gap between research and product development, identifying capability deficiencies and assessing progress.
- Driving research efforts focused on post-training models for enterprise applications; designing and executing experiments to boost the post-training functionalities of our models.
- Creating new algorithms and methodologies for efficient model fine-tuning and adaptation.
- Developing synthetic datasets and evaluation metrics tailored for enterprise scenarios.
- Analyzing outcomes and deriving insights to inform future research endeavors.
- Keeping updated with the latest advancements in post-training methodologies (such as RLHF, RLAIF, DPO, etc.) and integrating relevant findings into research and product development.
- Experience in research with a focus on post-training and optimization of large language models using frameworks like Megatron, DeepSpeed, MaxText, etc.
- Strong foundational knowledge in machine learning and a principled approach to research.
- Proven track record of developing new methods or enhancing existing techniques in machine learning or related domains.
- Proficiency in programming languages commonly utilized in machine learning research, particularly Python.
- Excellent problem-solving, analytical, communication, and teamwork skills.
- A passion for building innovative solutions in a dynamic, collaborative environment.
- (Bonus) Previous experience in enhancing products and user experiences through machine learning models.
We encourage individuals to apply even if they do not meet all listed qualifications but are eager to explore these techniques.
The compensation range for this role is competitive, with additional benefits including equity, 401(k), health benefits, and perks such as daily onsite meals and snacks.
Essential AI is committed to fostering a workplace free from discrimination and harassment, ensuring equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.
