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Data Scientist - Llm
Company | Spotter |
Address | Los Angeles, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Online Audio and Video Media |
Expires | 2023-07-14 |
Posted at | 10 months ago |
Overview
- You’ll learn and grow every day - from the industry, your peers and most importantly, your customer zero - the creators!
- You’ll be part of a small but mighty and highly motivated team (~15 people strong) that operates like a startup within a startup–with all the chaos that comes with that–but also real camaraderie, diverse backgrounds, skills and opinions and plenty of fun.
- You’ll fine-tune and serve LLMs and LLM-based pipelines to help build best-in-class workflow tools for the world’s top YouTube creators, and you’ll ship updates and new features on a weekly basis
- Troubleshoot and resolve any issues arising during model training and deployment.
- Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
- Continuously research and stay up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.
- Develop and deploy the LLMs for a variety of content generation tasks.
- Share your discoveries, learnings and results with other modelers in the company working on related projects.
- Fine-tune pre-trained language models for generative AI applications.
- Read all the newsletters and obsess over new industry learnings, startups utilizing LLMs in novel ways, and other ways the real world is utilizing LLMs.
- Apply, discover and research techniques to optimize existing LLM training and serving, as well as improving the model quality.
- Work with product teams to ensure smooth product delivery with high standards, prioritize short-term returns and long-term growth.
- Excellent oral and written communication skills.
- Expertise in visualizing and manipulating big datasets.
- Good knowledge in other deep learning models such as CNN, RNN.
- Strong analytical and problem-solving skills and
- 2+ plus years of experience in developing deep learning models as a Data Scientist and experience in building products backed up ML /AI
- Master’s degree in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math, or other quantitative fields.
- Excited about creators
- Experience with transfer learning, meta learning and predictive modeling.
- Hands-on experience in developing models, in optimizing model training and tuning and in deploying Large Language Models such as GPT, LLaMA, BERT, or Transformer-based architectures with strong knowledge in tokenization and embeddings.
- Take a creative and strategic approach to solve hard problems. Simplify the complex. Bring in fresh ideas from new places.
- Intensely curious to learn how AGI is evolving day in and day out..
- PhD is preferred.
- Autonomy and upward mobility
- Diverse, equitable, and inclusive culture, where your voice matters.
- Medical insurance covered up to 100%
- 401(k) matching
- Stock options
- Dental & vision insurance
-
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