Data Scientist - LLM

Overview: 

Spotter is a platform for Creators, providing services and software designed to accelerate growth for the world’s best Creators and brands. Creators working with Spotter can access the capital, knowledge, community, and personalized AI software products they need to succeed. With unique knowledge of how Creators work, the resources they need to grow, and the challenges they face, Spotter is empowering top YouTube Creators to succeed.

Spotter has already deployed over $940 million to YouTube Creators to reinvest in themselves and accelerate their growth, with plans to reach $1 billion in investment by 2024. With a premium catalog that spans over 725,000 videos, Spotter generates more than 88 billion monthly watch-time minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe. For more information about Spotter, please visit https://spotter.com.

If you are a talented and intensely curious Data Scientist with expertise in building deep learning models and fine-tuning and deploying Large Language Model we want to hear from you. You will fine-tune and serve cutting-edge models, directly enhancing the workflows of the world’s top YouTube creators. We prioritize results and seek individuals who thrive on making a tangible difference.

What You’ll Do

• Fine-tune and deploy Large Language Models (LLMs) and pipelines for YouTube creator tools, with weekly updates.
• Collaborate within a small, agile team (approximately 15 people) in a dynamic startup-like environment, fostering camaraderie and diverse perspectives.
• Engage in continuous learning and development, staying updated on industry trends, peer insights, and creator needs.
• Optimize LLM training and serving techniques to improve model quality and performance.
• Develop and deploy LLMs for content generation tasks.
• Share research findings and results with other modelers.
• Stay current with advancements in NLP and LLMs, applying new techniques as needed.
• Evaluate model architectures and optimize hyperparameters through experimentation and benchmarking.
• Troubleshoot and resolve model training and deployment issues.
• Partner with product teams to ensure high-quality product delivery, balancing short-term goals with long-term growth.

Who You Are

• PhD in Data Science related field (Machine Learning, Computer Science, Statistics, etc...) plus 6 months to one year experience
• Hands-on experience in developing deep learning models (CNNs, RNNs, LSTM, etc...),
• Expertise optimizing model training, tuning, and deploying Large Language Models such as GPT, LLaMA, BERT, or other Transformer-based architectures
• Knowledgeable in tokenization and embeddings, transfer learning, meta learning and predictive modeling.
• Expertise in visualizing and manipulating big datasets.
• Strong analytical and problem-solving skills and 
• Intensely curious to learn how AGI is evolving day in and day out.
• Excited about creators 
• Excellent oral and written communication skills.
• Take a creative and strategic approach to solve hard problems. Simplify the complex. Bring in fresh ideas from new places.

Why Spotter

• Medical insurance covered up to 100%
• Dental & vision insurance
• 401(k) matching
• Stock options
• Discretionary PTO
• Complimentary gym access
• Autonomy and upward mobility
• Diverse, equitable, and inclusive culture, where your voice matters.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Los Angeles. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $150K-$170K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity.

Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws. 

Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.