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Senior Machine Learning Engineer
3 months ago
About Us
High-quality data access and provisioning shouldn't be daunting and time-consuming. Synthesized automates this process — we solve the problem of replacing sensitive production data from non-production environments with right-sized, production-like data. Since 2018 we have pioneered the generation of production-like data for machine learning and application development across all structured data formats within one platform.
Our products are used by some of the world's leading organizations, such as Deutsche Bank , UBS , the European Commission , and others. We continue to be a part of various roundtables on AI regulations and ethics in the UK and Europe. Most recently, Synthesized 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 would love you to join us on the journey.
The Role
As a Senior Machine Learning Engineer at Synthesized, you'll work alongside (thoughtful and kind) machine learning and statistics researches from top universities in the UK and world class software engineers. You'll be tasked with developing machine learning techniques and applying them at scale to our projects. You'll interact with customers on a regular basis.
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.
Key Responsibilities
- Develop new and improved methods for generative modelling, unsupervised learning and meta-learning.
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Extend existing ML libraries and frameworks
About You
- Good knowledge of probability, statistics and algorithms
- 3+ years of experience in creating high-performance implementations of machine learning algorithms
- Good knowledge of data structures, data modelling and software architecture
- Proficiency 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)
✨ What We Offer
- Wonderful office in the heart of Shoreditch, hybrid 3-days
- Generous cash compensation and share options
- Flexible work hours ⏰
- 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
