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Software Engineer
Machine Learning
Confirmed live in the last 24 hours
San Francisco, CA, USA
Experience Level
Desired Skills
Apache Spark
Apache Kafka
Data Analysis
Product Design
Apache Flink
  • You have 7+ years of engineering experience -- ideally with the last several years focused on building machine learning-powered products and/or developing machine learning infrastructure
  • You are familiar with the fundamentals of machine learning and artificial intelligence: model types and how they're used (everything from classical models like boosted trees to transformers and large language models). You have experience training and fine-tuning models
  • You have a track record for shipping scalable and reliable user-facing products or infrastructure
  • You thrive when collaborating cross-functionally-especially with product, design, infrastructure and data teams
  • You have a computer science background or equivalent technical experience
  • Depending on your interests and experience, you'll work on fundamental infrastructure for machine learning, model training and development, ML product development, or-ideally-all of these
  • You'll build machine learning infrastructure to enable you, your teammates, and your colleagues to train and deploy models quickly and reliably
  • You'll develop the right models for various product use cases, and
  • You'll build the products that rely on those models, thinking carefully about the modeling and product interactions
  • You'll work with Product, Design and engineering peers to craft our overall AI product roadmap
  • You'll help develop our long-term technical roadmap for machine learning and artificial intelligence so we can execute on that AI product strategy
Desired Qualifications
  • You have stayed (and continue to stay) abreast of recent advances in artificial intelligence and machine learning
  • You have a Masters or Ph.D. in machine learning, artificial intelligence, or a related field
  • You have experience with large scale data processing technologies (e.g. Spark, Flink, Kafka, Airflow, YARN/Hadoop)
  • You have worked at a fast-growing start-up or a SaaS company, or you're eager to contribute in such an environment (being a current Notion user would be great!)
  • 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

201-500 employees

All-in-one workplace
Company Overview
Notion's mission is to make toolmaking ubiquitous. The company operates an all-in-one productivity platform that enables users to create tools and collaborate easily.
  • Medical, dental & vision insurance
  • PTO
  • Mental health & wellbeing package
  • Parental leave
  • Fertility coverage
  • Retirement matching
  • Commuter benefits
  • Monthly stipend
Company Core Values
  • Be an owner of the mission: We’re driven by our commitment to empower every person on the planet to use software exactly the way they want.
  • Be a pace setter: We move with urgency so we can set the cadence for our market, cover more ground, and ship more great products and programs for our users, faster.
  • Be a truth seeker: We pursue the best data, ideas, and solutions with rigor and open-mindedness, always guided by our users’ most pressing needs.
  • Be kind and direct: We deliver feedback in the spirit of helping our colleagues improve, balancing sensitivity with caring honesty. We’re in this together.