Join us to build and safely deploy aligned, superhuman AI. For decades, technology was "just a tool" - could it be a colleague?
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Apply to MagicThe little details make the big picture. We are looking to hire a Principal Product Designer with the ambition to go far beyond "good enough".
As a Principal Product Designer, you will talk to users, develop user experience strategy and design, and take ownership of the little details that take a product from good to great. The role is hands-on; we're looking for someone who loves their craft.
Things that might make you a good fit
- Familiar with dev tools: our users are software engineers, so it helps if you have been (or are) a software engineer, or have designed dev tools before.
- 2y+ experience hands-on UI/UX or product at a startup
- High-energy: you love what you do
- Ambition: you want to make something great
- Creative: you have many ideas and you love bringing them up
- Attention to detail: you noticed that we forgot the ":" after "2y+ experience", and it bothered you.
Magic's culture
- Integrity. Words and actions should be aligned.
- Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
- Teamwork. We move as one team, not as N individuals.
- Focus. Ethically deploy AGI. Everything else is noise.
- Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Benefits and perks
- Benchmark-based compensation in the 75th or 90th percentile, including base salary, equity, and benefits
- Flexible working hours
- In-person (SF or Vienna) or remote
- A small, fast-paced, highly focused team
About Magic
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
FAQ:
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
Funding?
We've raised $28M from tier 1 investors.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Yes
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people.
Apply to MagicAs a Senior Software Engineer, you'll work on frontend, backend, or infrastructure to make our models accessible and useful to developers around the world.
We're looking for
- 5y+ experience as a software developer
- High-energy: you love what you do
- Ambition: you want to make something great
Magic's culture
- Integrity. Words and actions should be aligned.
- Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
- Teamwork. We move as one team, not N individuals.
- Focus. Ethically deploy AGI. Everything else is noise.
- Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Benefits and perks
- Benchmark-based compensation in the 75th or 90th percentile, including base salary, equity, and benefits
- Flexible working hours
- In-person (London, SF, NYC, or Vienna) or remote
- A small, fast-paced, highly focused team
About Magic
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
FAQ:
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
Funding?
We've raised $28M from tier 1 investors.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Yes
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people.
Apply to MagicAs a GPU Kernel Engineer, you'll work on ensuring high throughput and low latency during training and inference with giant neural networks.
Responsibilities
- Implement high-throughput low-latency GPU kernels in CUDA or Triton
- Efficient mixed-precision training and inference
- Optimize kernel fusions
- Profile and benchmark competing implementations
- Maximize multi-GPU communication through efficient overlapping of communication and computation
Magic's culture
- Integrity. Words and actions should be aligned.
- Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
- Teamwork. We move as one team, not N individuals.
- Focus. Ethically deploy AGI. Everything else is noise.
- Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Benefits and perks
- Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits
- Flexible working hours
- In-person (London, SF, NYC, or Vienna) or remote
- A small, fast-paced, highly focused team
About Magic
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
FAQ:
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
Funding?
We've recently raised $28M.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Yes
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people.
Apply to MagicFor decades, technology was “just a tool.” Soon, it will be a partner. We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains. If this isn't AGI, then what is? Join us if you want to build and safely deploy aligned AGI in products that matter.
As a Research Engineer, you’ll work on training, evaluating, and serving large AI models, internet-scale dataset building, and help prototype new research and product ideas.
Work you might work on
- Pre-training: Distributed training across large GPU clusters
- Inference: Optimizing inference throughput of a custom neural net architecture
- RL: Continual learning to train AI models on user feedback
- Tool use: Implement interfaces to allow our AI models to interact with real-world tools or APIs
- Algorithms: Designing, testing, and optimizing new neural net architectures
- Internet-scale data: E.g. scraping much of YouTube
Magic's culture
- Integrity. Words and actions should be aligned.
- Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
- Teamwork. We move as one team, not N individuals.
- Focus. Ethically deploy AGI. Everything else is noise.
- Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Benefits and perks
- Benchmark-based compensation in the 75th or 90th percentile, including base salary, equity, and benefits
- Flexible working hours
- In-person (London, SF, NYC, or Vienna) or remote
- A small, fast-paced, highly focused team
About Magic
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
FAQ:
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
Funding?
We've recently raised $28M.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Yes
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people.
Apply to MagicFor decades, technology was “just a tool.” Soon, it will be a partner. We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains. If this isn't AGI, then what is? Join us if you want to build and safely deploy aligned AGI in products that matter.
As a Software Engineer on our core ML team, you will work on building internet-scale multimodal datasets. You will be responsible for working on petabyte-scale internet crawls, audio and video data, as well as small high-quality datasets.
Magic's culture
- Integrity. Words and actions should be aligned.
- Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
- Teamwork. We move as one team, not N individuals.
- Focus. Ethically deploy AGI. Everything else is noise.
- Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Responsibilities
- Write scrapers, crawlers, and parsers for websites and other text and multi-modal data sources.
- Clean large datasets, ensuring data quality and integrity.
- Identify new sources of data and obtain relevant data for dataset creation.
- Combine various tools such as OCR engines with general data pipelines and custom parsers and scrapers.
What we're looking for in a new teammate
- Exceedingly bright with strong analytical thinking abilities
- Exceptionally fast and productive engineer
- Strong proficiency in Python
- Knowledge of Rust and familiarity with C would be highly desirable
- Experience working with ML models on various platforms such as Hugging Face, Transformers, spaCy or other open-source LLM's is preferred
- Open source contributor to distributed systems tools like ray.io or to other ML related systems would be amazing!
Benefits and perks
- In-person (SF) or remote
- A small, fast-paced, highly focused team
- Competitive compensation
- 401K with 6% match
About Magic
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
FAQ:
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
Funding?
We've recently raised $28M.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Yes
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people.
Apply to MagicAs a Distributed Systems Engineer, you write efficient and robust pipelines for giant, multimodal datasets. If you love scaling things and maximizing reliability, this role is for you.
Responsibilities
- Design & independently implement a deterministic processing pipeline for our web crawl
- A/B testing infrastructure
- Crawling petabytes worth of image, audio or video data
- A generalised dataset pipeline that makes creation of new, smaller and more specialized datasets easy for our contractors
Requirements
- Is great at distributed systems
- Obsessed with details, reliability, and good testing
Magic's culture
- Integrity. Words and actions should be aligned.
- Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
- Teamwork. We move as one team, not N individuals.
- Focus. Ethically deploy AGI. Everything else is noise.
- Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Benefits & perks
- Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits
- 401K with 6% match
- Flexible working hours
- In-person (SF or Vienna) or remote
- A small, fast-paced, highly focused team
About Magic
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
FAQ:
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
Funding?
We've recently raised $28M.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Yes
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people. In all hires, we are looking for either 1) difference makers on world class teams or 2) individuals who would become this very quickly if placed on such a team tomorrow.
Apply to MagicAs a Software Engineer working on our large-scale training and inference infrastructure, you will architect and build resilient solutions for AI workloads on large GPU clusters. If you love scaling things, enjoy getting the most out of compute infra and maximizing reliability, this role is for you.
Respnsibilities
- Lead and participate in projects to build massive scale, highly available and secure training, production and development infrastructure.
- Ensure highly available GPU workloads for training and production inference purposes
- Respond to and investigate incidents across security and availability
- Platform Engineering to enable our engineers to be super fast
- Come up with and propose ways of accelerating the team
- Troubleshoot and resolve issues across GPU resources, networking, OS, drivers and cloud environments, automate detection and recovery of such issues
Requirements
- Very strong linux knowledge in the k8s VM and bare metal context, including bash scripting and troubleshooting
- Strong hardware knowledge around server hardware, networking hardware and GPUs
- Strong IaC knowledge with extensive experience in Terraform or Pulumi
- Extensive experience with either AWS and GCP, ideally with both
- Very strong coding skills
- Very strong knowledge of hardening cloud native and especially k8s workloads
Magic's culture
- Integrity. Words and actions should be aligned.
- Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
- Teamwork. We move as one team, not N individuals.
- Focus. Ethically deploy AGI. Everything else is noise.
- Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Benefits and perks
- Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits
- 401K with 6% match
- Flexible working hours
- In-person (SF or Vienna) or remote
- A small, fast-paced, highly focused team
About Magic
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
FAQ:
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
Funding?
We've recently raised $28M.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Yes
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people. In all hires, we are looking for either 1) difference makers on world class teams or 2) individuals who would become this very quickly if placed on such a team tomorrow.