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. As Tome continues to innovate in the AI domain, we seek a Senior Machine Learning Engineer to lead our Machine Learning Operations. This role is key in shaping how we harness the power of large language models (LLMs) and redefine collaboration and engineering practices in an AI-centric environment.
Key Responsibilities
- Drive large impact on Tome's growth by shipping magical creation experiences that customers are eager to use.
- Lead the development of ML product development infrastructure, focusing on scaling and innovating in areas of collaboration and versioning, particularly in the context of LLM model training and prompting.
- Create and maintain a platform that will be used by multiple teams working on ML products, ensuring its scalability, efficiency, and user-friendliness.
- Collaborate closely with internal teams to integrate ML solutions and define best practices for software engineering in an AI-driven development landscape.
- Act as a bridge between engineering teams, guiding the integration of software engineering with LLM technologies.
- Help build a world-class AI/ML engineering team by recruiting and mentoring teammates.
- Address and solve open-ended technological challenges in software engineering at scale, especially in the context of AI-driven systems.
Who You Are
- You have a BS or MS degree in CS, Engineering, AI or a related field.
- 6+ years experience in software engineering with a focus on ML infrastructure.
- You have a strong understanding of deep learning AI/ML frameworks or cloud services.
- Experience with the integration of software engineering with large language models.
- Ability to navigate and solve open-ended technological challenges in a fast-evolving AI landscape.
- Excellent collaboration skills, with the ability to work effectively with both internal teams and external partners.
- Strong problem-solving skills and the ability to handle complex, cross-functional projects.
Bonus Points
- Experiencing leading AI/ML product initiatives.
- Publications in applied AI/ML scientific journals.
- Experience navigating open source/vendor solutions in LLM ops space (Langchain, Pinecone, Gantry, etc).
Tome Perks
- 💰 Competitive compensation & equity packages.
- 🏝 Unlimited vacation days.
- 🏩 Choose the coverage that suits you.
- 🛌 Unlimited sick leave.
- 👼 3 months of paid time off for maternity & paternity leave.
- 💸 Weekly UberEats credit to order a favorite meal.
- 🚎 Commuter benefits for those in the Bay Area.
Benefits Extracted with AI
- Paid paternity leave
- Commuter benefits
- Vision insurance
- Unlimited PTO
- Full Medical/Dental/Vision Insurance Coverage
- Sick Leave
- Parental Leave
- Retirement Plan
- Weekly Lunch Stipend
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