Machine Learning Innovator
1 day ago
Synthesized is a leading provider of data automation solutions. Our products are used by some of the world's leading organizations, such as Deutsche Bank, UBS, and the European Commission.
We continue to be a part of various roundtables on AI regulations and ethics in the UK and Europe. Most recently, we contributed to the AI Roundtable with the Secretary of State for Science, Innovation, and Technology who hosted senior AI leaders at Downing Street.
We're an ambitious VC-backed startup, with leading global investors including IQ Capital, Seedcamp, and Deutsche Bank. We have ambitious growth plans for 2024, and we're looking for talented individuals to join us on this journey.
Job Description
- Work alongside thoughtful and kind machine learning and statistics researchers from top universities
- Develop machine learning techniques and apply them at scale to our projects
- Interact with customers on a regular basis
Requirements
Good knowledge of probability, statistics, and algorithms3+ years of experience in creating high-performance implementations of machine learning algorithmsGood knowledge of data structures, data modeling, and software architectureProficiency with machine learning frameworks (like Keras or TensorFlow) and libraries (like scikit-learn)Past experience in developing data software products (optional)Track record of coming up with new ideas in machine learning, as demonstrated by one or more publications or projects (optional)Benefits
- Wonderful office in the heart of Shoreditch
- Generous cash compensation and share options package
- Flexible work hours and a hybrid 3-days workweek
- Personal development budget (coaching, courses, events)
- Competitive health and dental plan coverage
- 32 days paid leave per year, including flexible national holidays
- Snacks and drinks provided weekly
- Working alongside great people in a friendly and respectful environment
- Company events, regular team socials, and international trips
About You
You should be motivated by a desire to solve the most important problems and obtain unprecedented results, rather than producing 'yet another paper'. You should be eager to push your architectures to their maximal performance, rather than being satisfied with toy tasks and proofs of concept.
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