Facet powers visual storytelling at scale through creative and supportive AI. We are a collective of engineers, product designers and artists, aiming to redefine and humanize the creative process. Our thesis is simple: While media becomes increasingly personalized and topical, the process of making compelling visual art remains frustratingly manual. We use machine intelligence to amplify human creativity, allowing artists, designers, and creatives of every stripe to take control of their process and focus on exploration and art direction.
Facet is currently in Early Access and is being used by thousands of creatives around the world. You can see examples of their work on Instagram and Behance. Facet is backed by Accel Partners, Slow Ventures, Basis Set Ventures, South Park Commons, and a diverse group of designers, product thinkers, and AI luminaries from Google Brain, Salesforce, and FAIR.
This role is a unique opportunity to bridge the technical and creative divide, solving difficult engineering challenges in the service of artistic goals.
You would be responsible for ensuring that Facet's image import, analysis, and rendering services are fast, stable, and available. Core challenges include building the systems that we use to deploy, manage, and run our ML-based image analysis services, maintaining and optimizing our high-res backend rendering APIs, and scaling our image caching and serving infrastructure.
You might be a fit if you
Empathize with designers, artists, and visual creative workers.
Enjoy thinking about backend architecture from a product perspective - making decisions and tradeoffs to optimize user experience.
Are excited about recruiting and mentoring a team of highly talented engineers.
Have experience working with complex backend architecture involving a variety of interacting services.
Enjoy building new capabilities and features across the entire tech stack.
Believe in the importance of designing processes and tooling to continuously improve product quality.
Scalable backend rendering: we offer image rendering APIs that require us to be capable of generating many high-resolution renders from our image processing pipeline, each of which may depend on results from several of our AI-based image processing services.
Splitting state-of-the-art AI models across the browser and the server: Many AI models won’t run in the browser, but we can’t get real-time interactivity by running solely on the server. We are constantly trying to figure out new ways to pre-compute as much as we can on the server, then send compact result summaries to the client that enable sophisticated real-time editing.
Rapidly and dependably deploying new machine learning models: We are constantly training and deploying new models to help us understand photos better. We need flexible and easily-managed infrastructure that will let us change out new models as we improve them, monitor the performance of the models we have, and scale our capabilities to adapt to changing needs.
Why join us?
AI for creative tools is something we at Facet believe very deeply in—as machine perception improves, we're truly at the cusp of a renaissance in new tools for visual artists.
Facet is something that has the potential to become huge independent powerhouse, making creative work easier and more accessible for folks of all stripes, and we’re the right team for this problem.
We are highly technical and we are backed by AI and product experts from Google Brain, Salesforce Metamind and FAIR. Joe founded two successful companies prior to Facet: Metamarkets was acquired by Snap last year and Premise has expanded to provide basic income and data services to underserved communities in over 30 different countries. Matt has deep expertise in computer graphics and machine learning, and previously led the engineering team at Operator.
As a member of the founding team, you’ll have a significant influence on our product and we're top 1% in equity compensation for our early employees. We’re going to make mistakes, we’re going to write and rewrite a ton of code, and we’re going to struggle with product direction and market development. We’re being upfront because above all else we value honest communication and collaboration. There is no other way to successfully navigate a seed stage business. By working together, we can go farther, faster, and accomplish more than any of us could by ourselves.
Projects you might work on
Building a client-side tool for matching photo colors by example.Accurate color matching is a core Facet feature that lets users quickly adjust local tone curves and in a content-aware way. Foregrounds, backgrounds, skin tones, etc. are all matched separately and blended together seamlessly. While this operation currently runs entirely on the server, we are porting it to a new Typescript implementation that uses WebGL and Tensorflow.js to run in real-time on the browser.
Training a new object segmentation model for recognizing common photo elements: clothing, skin, sea, sky, ground, etc. Many commonly-available image segmentation and object detection models are tuned to recognized a large number of different object categories, which can be as specific as individual breeds of dogs. In the photo context, we often care about fuzzier categories, or categories specific to particular customer verticals — for example, a customer that works with fashion photos will be interested in recognizing clothing. We recently trained and deployed two new image segmentation models that recognize clothing and common image background components and provide pixel-accurate segmentations.
Deploying our machine learning models as individual services. In order to dynamically scale to meet user load, we will need to partition our content understanding pipeline into smaller services, each of which provides a single model, and build the distributed infrastructure, model serving and monitoring to allow them to be scaled and deployed independently.
Three weeks paid vacation.
Comprehensive health coverage and we cover 100% of your premiums.
Build your own work environment: customize your laptop and desk setup with any peripheral or accessory you'd like.
Order any work-related books on the company's Amazon account.
Flexible working hours: we have daily team stand-ups, but we understand if you work better when you're not tethered to your desk.
Commuter benefits including a monthly ride-sharing stipend.
Working at Facet
Consensus goals, independent execution. We value collaboration on goal setting and technical/company direction while giving individuals latitude and ownership over how these goals are achieved.
Marathon, not a sprint. Creative AI is a rapidly blooming space, so we need to move quickly to build product and grow our market. We all juggle multiple roles and we’re in it for the long haul. At the same time, we understand downtime is important. We don’t have an explicit vacation policy, but unlike other startups we expect you to gauge your level of stress and take one when you need it.
Sane experimentation. We're exploring new territory and building a new product category. We need to experiment and try new things while maintaining a stable foundation for our future work. Our product should make the world better, and we shouldn't break anything we’re not sure we can fix. Facet is partnering with artists and designers to develop a powerful, ethical approach to our technology, democratizing artistic expression in a safe, responsible way.
Creative + technical. Facet is about making technology a partner in the creative process. We enjoy product design, engineering, and research—but also photography, music, art, and cooking.
Diverse backgrounds. We’re solving a completely new problem and need a diverse set of viewpoints and voices to fully understand its scope and extent. We’re building a company and culture that can responsibly and respectfully integrate a plurality of voices.
Tea and baked goods. We’re really into tea and baking & think these are good things. You might disagree with us (cf. “diverse ideas”), but you should be aware.