Technical recruiting services for high-performance engineering teams.
Cloud Infrastructure • iOS • Android • UX/UI Design • Windows Development
11 - 50
May 22, 2023
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Technical recruiting services for high-performance engineering teams.
Cloud Infrastructure • iOS • Android • UX/UI Design • Windows Development
11 - 50
Image understanding is at the heart of what makes Facet unique. Knowing the semantic, textural, and physical properties of any photo allows us to explore completely novel editing abstractions that empower our users. Between the many image properties we need to extract and the rapidly-evolving state of computer vision research, it is vital that we be able to train, evaluate, and ship models quickly, and ensure that these models can be easily integrated into our web-based frontend. You would work across the Facet tech stack to build out ML-based features along with the internal tooling and infrastructure to support them. These models will support features such as object selection and matting, image inpainting, and example-based color adjustment. They will need to not only be fast and accurate, but produce results in a way that our users can understand and reason about. This role offers the unique opportunity to navigate the challenge of uniting professional artists and ML algorithms into the same creative loop. If you’re as interested in that as we are, we hope we’ll be hearing from you.
• Experience training, evaluating, and deploying ML models into production. • Professional or research experience with image segmentation, classification, or synthesis models. • Demonstrated ability to propose effective solutions, build them quickly, and iterate on them in response to feedback. • Aptitude for clearly communicating difficult technical concepts. • Empathy for the designers, artists, and the visual creative workers who will be using our product.
• Competitive salary and equity. • Paid parental leave for primary or secondary caregivers. • Three weeks paid vacation. • Medical, Dental, Vision Insurance and OneMedical membership. • 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. • Relocation assistance. • Yearly stipend for learning and development. • Commuter benefits including a monthly ride-sharing stipend.
Apply NowApril 3, 2023
2 - 10
🇺🇸 United States – Remote
💰 $3.8M Seed Round on 2022-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
April 3, 2023
April 3, 2023
51 - 200