MLE, Applied Research and Model Development

About the role

Tome is bringing storytelling into the modern era by constantly narrowing the gap between what creators mean to express and what their audiences experience.

The next innovative leap in our journey is adding the latest AI/ML capabilities to Tome's existing magic, with a focus on developing proprietary machine learning models that integrate visual persuasiveness and data-driven narratives. To enable that, the team is looking to hire an experienced ML Engineer specialized in NLP and large language models to lead our efforts in pioneering AI-driven storytelling experiences, developing Tome's proprietary machine learning models, and crafting our AI/ML strategy.

Tome's AI/ML team will be building front-and-center experiences into the product. There's much innovative work ahead, from generating images, text, and layouts to enhancing videos to completing AI story creation.

What you'll do

• Drive large impact on Tome's growth by shipping magical creation experiences that customers are eager to use
• Craft Tome's AI/ML strategy in tight collaboration with founders and execs
• Pioneer the training of new models that leverage both historical data and synthetic training data
• Help build a world-class AI/ML engineering team by recruiting and mentoring teammates
• Develop prototypes for innovative creation experiences based on generative AI models like GPT-3 and open-source generative text models, and drive development of those into robust product features
• Work closely with product designers to apply AI/ML to create features that delight users and stimulate and augment creators' imagination

Who you are

• You have a PhD or comparable industry experience in Machine Learning
• You have 5+ years of industry experience in NLP, with a strong portfolio of model training and fine-tuning projects
• You have a strong understanding of deep learning AI/ML frameworks or cloud services
• You have hands-on ML Ops experience
• You possess deep expertise in NLP and model training, specifically with large language models like Llama-7b, Mistral, and open-source generative text models
• Proven experience in fine-tuning models and adapting open-source generative models for specific use cases, demonstrating a deep understanding of its architecture and capabilities

Bonus Points

• Experience in publishing research in top-tier AI/ML journals or conferences
• Proven track record of leading successful AI/ML research projects in a product environment
• Experience navigating open source/vendor solutions in LLM ops space (Langchain, Pinecone, Gantry, etc)

Tome Perks:

💰 Compensation & Equity 

• We offer competitive compensation & equity packages. At Tome we want you to feel ownership over the work you do and capitalize on the upside you create in the company.

🏝 Unlimited PTO 

• Take the time you need to with unlimited vacation days.

🏩 Full Medical/Dental/Vision Insurance Coverage

• Choose the coverage that suits you.

🛌 Sick Leave 

• Unlimited. Take the days you need to feel your best and do your best work.

👼 Parental Leave 

• Tome offers 3 months of paid time off for maternity & paternity leave.

💸 Retirement 

• Tome offers a 401k plan through Human Interest

🍱 Weekly Lunch Stipend 

• Weekly UberEats credit to order a favorite meal.

🚎 Commuter Benefits 

• For those in the Bay Area we offer: up to $25/day in parking ($350 for a monthly pass) & Muni/Bart rides (up to $350/month).