Machine Learning Engineer - LayerView Company Profile
- Job Title
- Machine Learning Engineer
- Job Location
- UK or Istanbul
- Job Listing URL
- Job Description
Layer is a simple, intuitive, and responsive AI tool for game artists. For the past 2 years, our team has been developing AI infrastructure and our has experience enabled us to achieve unparalleled performance in our UI. As such, Layer is the fastest AI image-generation experience out there.Layer enables any game artist to generate countless new assets based on their unique art styles. All artists have to do is to upload their existing game assets. We’re also excited to share that Layer is already being used by game studios that create games played and loved by millions. Head to layer.ai to find out who we’re working with.We firmly believe that exceptional companies are built by exceptional people. We look for people to join our team who are passionate about their work, grounded, achieve more with less, are full of grit and challenge themselves and their team to do better.
Engineering at Layer
We value quality at high speed at Layer. We iterate fast, quickly eliminating ideas that don’t work and focusing on ideas that do. We use code reviews, post-mortems, and automated tests effectively to help us maintain our speed while giving our users a great experience. We rely on every team member to bring their full experience and passion to their work, and we expect a lot from each other in order to continuously strive towards becoming a world-class engineering team.
This person will be the first ML Engineer of our newly forming engineering team based in Istanbul, Turkey. This is a unique role and opportunity that is highly collaborative, working closely with our CEO, Product and Engineering leadership; you’ll focus on the ML core of our product, staying up-to-date with the fast moving state-of-the-art in generative AI, improving our existing ML features and pipelines, and coming up with solutions to essential user needs. In addition you’ll need to be able to identify areas to work on independently and autonomously make improvements to our product.
We are looking for someone who wants to ship beautiful and thoughtful products from their first week. You should be able to form a clear path to a solution by collaborating with the team, and take those ideas all the way to robust, production-grade models and code.
This requires being comfortable using your ML intuition and expertise to make decisions and develop quick and systematic experiments when needed to close doors. Having an overall understanding of our technical stack and necessary engineering trade-offs to balance the speed and sustainability of your implementations is also critical.
Whilst “years of experience” isn’t a term we care for, as we’re a small team, you’ll need to be comfortable working independently, identifying things to work on, and sharing your opinions, project estimates, and expertise with the team. Importantly we’re looking for a team member comfortable working in a very typical start-up environment. We move very quickly, unblock ourselves without lots of direction and discussion, work intensely, and are all passionate about Layer.
We’d love to hear from you:
If you have
- A solid grasp on deep learning fundamentals and a deep learning framework (preferably PyTorch)
- Experience training/fine-tuning and productizing ML models end-to-end
- Understanding of generative (especially diffusion), multimodal and language models
- Track record of significant contributions to research projects or transformer/diffusion based open-source libraries
Are able to
- Communicate in written and spoken English to a good standard - this is essential as all our communication as a team is in English
Are excited by
- Everything AI!
- Working at a start-up with the opportunity to shape our product and company
Nice to haves
- Experience with Docker or Kubernetes
- Experience optimizing models (TensorRT, TorchScript, ONNX…)
- Experience working with an international team
- Prior stints at start-ups, understanding and enjoying what this means for your working life
This role can be based in our Engineering hub in Istanbul, Turkey or in the UK.What we offer:
Commitment to equal opportunity:Diversity is hugely important to us. Everyone should work in an environment free from discriminationand harassment. At Layer, we celebrate diversity and continually strive to provide a more equitable, diverse, and inclusive space. All applicants will be treated fairly and judged solely on their merits. Our recruitment process is open, honest, and fair.
- Equity plan
- Competitive salary
- Laptop/ equipment budget
- Access for global co-working spaces
Layer Headquarters Location
San Francisco, CA
Layer Company Size
Between 2 - 10 employees
Layer Founded Year
Layer Total Amount Raised
Layer Funding RoundsView funding details