Facebook pixel

Software Engineer
Machine Learning
Confirmed live in the last 24 hours
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Apache Kafka
Data Analysis
Hadoop
Airflow
Product Design
Apache Flink
Yarn
Requirements
  • 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
Responsibilities
  • 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
Notion

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.
Benefits
  • 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.