Senior Machine Learning Researcher

This position is for an exciting and innovative start up company focussing on blockchain technology, open-source protocols, and decentralised finance. Do you thrive on solving complex challenges while making a real impact?

I am recruiting a Senior Research Machine Learning Engineer for a company who are a dynamic tech startup at the forefront of decentralised commodities and investment portfolios. Their mission is to redefine value creation by leveraging investment technology and open-source solutions to empower communities and increase value in decentralised ecosystems.

The Role

As a Senior Research Engineer, you’ll:

• Conduct cutting-edge research to explore new algorithms, methodologies, and frameworks in machine learning and AI.
• Design and implement state-of-the-art models to solve complex problems in various domains such as NLP, computer vision, or reinforcement learning.
• Stay abreast of the latest developments in machine learning, deep learning, and AI research to ensure solutions remain innovative and competitive.
• Dive into groundbreaking research, tackling diverse challenges within open-source protocols.
• Collaborate with a world-class team to design and optimise blockchain-based solutions for decentralised commodities.
• Enhance the value of investment portfolios using innovative, cutting-edge technologies.
• Stay ahead of the curve in Blockchain and decentralized finance (DeFi) trends.

Previous experience requirements:

• Strong expertise in Machine Learning Engineering, across multiple skills – NLP, Computer Vision, LLMs, Time series forecasting etc.
• PhD+3 years or MSc + 5/6 years industry experience – qualification in a STEM subject (statistics, machine learning, physics etc)
• Proven experience in research and problem-solving within open-source development environments.
• Self-motivation, adaptability, and the ability to thrive in a fast-paced, remote-first environment.
• Hands-on experience with supervised and unsupervised learning techniques (e.g., regression, classification, clustering, and dimensionality reduction).
• Proficiency in deep learning methodologies such as CNNs, RNNs, GANs, and transformers. Strong experience with languages like Python, R, or Java.

What Is On Offer

• Remote-first role with the flexibility to work from anywhere, and quarterly meetups in Manchester to connect with the team.
• A competitive salary of up to £95,000 per annum – can stretch for the right hire.
• Access to a WeWork pass for professional workspaces whenever you need them.
• Comprehensive benefits package to support your well-being and growth including share scheme.

Please apply within if you would like to hear more.

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