# Software Engineer, Early Career (AI)

**Company**: Notion
**Location**: San Francisco, California
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: full-time
**Salary**: $130,000-$150,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/notion/85947779-6b87-466a-98bc-30a640448c28?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2c4fa269-03a

## Description

Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented.

As an engineer at Notion, you'll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision.

We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.

Depending on team match and business needs, you could work on:

- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)

- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation

- Evaluation & quality (evals): creating evaluation frameworks and automated/human-in-the-loop testing to measure and improve model and product quality

You'll achieve:

- Partner with your team to prototype and ship an AI-powered product improvement

- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability

- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes

Skills you'll need to bring:

- Less than two years of engineering experience

- Solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems

- Expertise building and prototyping: You're excited to build and iterate quickly, and you've started exploring AI/ML through coursework, projects, internships, or hackathons

- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context

- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves

- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers

Nice to haves:

- Experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch

- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship

## Skills

### Required
- data structures
- algorithms
- distributed systems
- AI/ML
- problem-solving

### Nice to have
- React
- TypeScript
- Node.js
- Postgres
- Elasticsearch

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/notion/85947779-6b87-466a-98bc-30a640448c28?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)