Senior Applied Scientist AI Dublin Ireland
Detalhes do emprego
What started with a shared love of food and technology has evolved to become the only neutral, cross-brand platform that seamlessly brings appliances, home cooks, and recipes together–Fresco’s KitchenOS. Smart kitchen appliance users are expected to reach 248 million worldwide by 2027. The Fresco KitchenOS platform is designed to facilitate the transition to that future for both appliance makers and home cooks. Fresco connects any compatible appliance, across brands so that users can focus on what they do best, preparing meals and are committed to building the best possible cooking experience. From iPads and smart speakers to appliance screens and smart home assistants, Fresco delivers an effortless cooking experience and connects dots in the kitchen. Fresco partners with the appliance makers like BOSCH, Kenwood, Instant Brands, GE Appliances, Electrolux, LG, Thermomix and Panasonic and are growing fast. Founded in 2012, Fresco currently operates globally and has offices in Dublin, Ireland, and Spain. As Senior Applied Scientist at Fresco, you will:
- Propose and develop machine learning models to solve key problems in the area of Connected Cooking and Recipe Generation, Adaptation and Understanding.
- Work as a member of Fresco's Core AI Team, developing products for Fresco’s partners and customers.
- Ensure data quality throughout data products including data quality measurement and sourcing and creating ground truth datasets
- You have deep knowledge in standard machine learning / deep learning libraries and frameworks such as Tensorflow/TFX, Keras, PyTorch, or Hugging Face
- You have experience with Large Language Models and Transformer-based model architectures, particularly open source LLM model families such as Llama and BERT.
- You apply best practices and robust methodologies for model design, training, evaluation and tuning.
- You have the ability to communicate to stakeholders and collaborate effectively within a cross-functional team, and have excellent written and presentation skills.
- You can balance bias to action and speed of delivery with quality of work and attention to detail.
- You can see the big picture and apply a holistic problem solving approach to your work.
- You have experience with CI/CD, Git, AWS services such as Sagemaker, S3, EC2
- A love of food and interest in IoT is an advantage.
- You have 3+ years delivering real-world consumer facing machine learning products and services.
- You have a solid foundation in statistics and machine learning / deep learning for one or more of Natural Language Processing, Generative AI, Machine Translation. A PhD or MSc in this area could be helpful, but equivalent industry experience is also considered.
- Experience in multilingual NLP is a plus.
- The chance to work at a hyper-growth, venture-backed startup in a budding industry
- The ability to feel true purpose in your work and generate success on a global platform
- Competitive compensation
- Meaningful share options as part of our Employee Share Option Scheme
- A stipend each year to level up your skills–courses, conferences, books, screencasts, or whatever challenges you
- A flexible, hybrid work model to suit your needs
- The opportunity to work remotely from anywhere in the world for up to 1 month per year
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