Data Scientist, Spotter
LLM
$150-250k
Office located in Culver City, CA
Finance solution for content creators
Job no longer available
Finance solution for content creators
201-500 employees
Job no longer available
$150-250k
Office located in Culver City, CA
201-500 employees
Company mission
To catapult creative potential with lucrative deals that make you unstoppable.
Role
Who you are
- Master’s degree in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math, or other quantitative fields
- 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
- 2+ plus years of experience in developing deep learning models as a Data Scientist and experience in building products backed up ML /AI
- Experience with 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
- Good knowledge in other deep learning models such as CNN, RNN
- Take a creative and strategic approach to solve hard problems. Simplify the complex. Bring in fresh ideas from new places
What the job involves
- We’re looking for a talented and intensely curious LLM specialist and deep learning modeler that is nimble and focused with a startup mentality: You want your models and code to ship and improve the lives of real customers, not rot in a research department
- You’ll be fine-tuning and serving various models, but you’ll also obsess over learnings in the industry and apply them in your daily work. Like for all of us, the outcome matters more to you than how we get there. You get a kick out of serving tools that improve and accelerate the workflows of the top YouTube creators in the world! If that all sounds like you, keep on reading
- 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
- 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 learn and grow every day - from the industry, your peers and most importantly, your customer zero - the creators!
- Fine-tune pre-trained language models for generative AI applications
- Apply, discover and research techniques to optimize existing LLM training and serving, as well as improving the model quality
- 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
- 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
- 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
- Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters
- Troubleshoot and resolve any issues arising during model training and deployment
- Work with product teams to ensure smooth product delivery with high standards, prioritize short-term returns and long-term growth
Our take
Spotter offers digital-creatives the opportunity to transform content creation as a hobby to a full-time job by providing them with the capital to do so. The company provides cash upfront to creators in exchange for ownership of any future ad revenue their videos generate.
Not dissimilar to venture capital investments, Spotter has applied this model to the digital content world, an increasingly lucrative industry. It is well placed to continue rapid ascension given its impressive clientele, some of YouTube’s most popular creators - such as Mr.Beast and Dude Perfect - whose cumulative content has amassed a combined 50 billion minutes in watch time.
2022 investment from Japan’s SoftBank and further venture capital positions Spotter to invest $1 billion with YouTube creators through 2023, cementing it as the leading partner of content creation.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Sep 2024
$7.4m
LATE VC
Sep 2022
$9.4m
LATE VC
Total funding: $247.4m
Company benefits
- Medical insurance covered up to 100%
- Dental & vision insurance
- 401(k) matching
- Stock options
- Autonomy and upward mobility
Company values
- People over profits: We act with our partners’ best interests in mind
- Algorithms over guessing games: We leverage tech that provides insight and foresight
- Transparency over mystery: We believe openness is the key to building trust
- Radical change over gradual growth: We go big and take ownership of any risk
Company HQ
Playa Vista, Los Angeles, CA
Articles
Leadership
Aaron DeBevoise
(CEO)Previously co-founded Cflix, North Entertainment, Machinima, StyleHaul, and served as CEO for Network of One. Spent nearly 5 years at J.P Morgan, initially as an Analyst before becoming an Associate within the Entertainment Industries Group.
Nic Paul
(COO)Previously founded N.B Paul and Revee, serving here as CEO until it was acquired by Outbrain, and acting as Head of Sales and Innovation. Spent 4 years at Penske Media Corporation as Senior Vice President.
David Carroll
(Chief of R&D)Previously founded SantaCruzGuide.com. Experience as a Software Engineer for ICTV, Interwoven, and eBay, and later held positions at Sony, Sizzle Digital Media and DIRECTV, before serving as CTO for Network of One.
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