Routine is on a mission to help busy people stay on top of things. CEOs, entrepreneurs, investors, senior executive and general managers evolve in a very chaotic environment with hundreds of emails, chat messages, things going through their mind and important tasks that must be completed in time.

Even though a lot of tools exist, from email clients, todo and note taking apps all the way to project management platforms and physical notebooks, none of them work when it comes to having an overall picture of what matters at the moment while knowing that the less important stuff will eventually be taken care of. Routine is a personal productivity assistant that is always at the user's fingertips, allowing busy people to quickly capture thoughts, secure time to work on important tasks, plan their day, set objectives, schedule meetings, take notes and more.

Routine has been created in 2020 by Julien Quintard and Quentin Hocquet, serial entrepreneurs who previously founded Infinit which was acquired by Docker in 2016. Routine is financially backed by well-known business angels and venture capital firms (Y Combinator, BoxGroup, TargetGlobal).

Notion is looking AI Engineer to join their small but nimble AI team whose mission is to make Notion a product that gives empowers our users to tackle larger problems leveraging AI. As a more experienced member of the team, you will work on determining how best to incorporate large language models (LLMs), embeddings, and other AI technologies into Notion’s product. You’ll be exploring the boundaries of what’s possible with ML technology and finding innovative ways to apply new industry learnings to Notion’s product offering.

What you’ll achieve:

• Work with the team to prototype and experiment with new AI features
• Productionize and launch new AI technology integrations into Notion’s core product
• Collaborate with cross-functional teams to deliver product features on time
• Stay up-to-date with the latest AI technologies and trends

Skills You'll Need to Bring:

• Domain Expert, Teacher and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies. 3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. You’re excited about bringing your pre-existing knowledge to the team, but you balance that with perpetual curiosity and understanding that there is always more to learn.
• Pragmatic Problem-solver: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. You are able to think on your feet, iterate efficiently on new ideas, and are enthusiastic about shifting your thinking as new information comes to light.
• Empathetic communication and leadership: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with and mentoring fellow engineers and work well with cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.
• Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.

Nice to Haves:

• You understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up.
• You’re proficient with data pipeline technologies: Spark, DBT, etc
• You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.
• You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals.
• You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
• You have interests outside of technology, such as in art, history, or social sciences.