Machine Learning Engineer

June 11

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Causaly

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Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine.

Artificial Intelligence • Natural Language Understanding • Knowledge graphs • Pharma • Life Sciences

51 - 200

💰 Venture Round on 2022-10

Description

• Lead the development and optimization of machine learning models and algorithms for processing and extracting insights from scientific literature • Collaborate with Research Engineers to experiment with new ideas, evaluate models, and improve performance • Work with the engineering team to ensure seamless integration of machine learning models into Causaly's platform, ensuring accuracy, efficiency, and scalability. • Participate in code reviews and ensure high-quality standards for all deliverables. • Stay up-to-date with the latest research and advancements in machine learning and related fields.

Requirements

• MSc/PhD in computer science, machine learning or equivalent • Strong analytical and proven problem-solving skills • Demonstrable industry experience delivering AI/ML frameworks for a product • Expertise in working with ML frameworks such as PyTorch, Tensorflow, scikit-learn, Langchain • Experience with DL architectures such as transformers/CNNs • Excellent programming skills in Python and object-oriented paradigm • Agile software development experience

Benefits

• Competitive compensation package • Private medical insurance (underwritten on a medical health disregarded basis) • Life insurance (4 x salary) • Individual training/development budget through Learnerbly • Individual wellbeing budget through Juno • 25 days holiday plus public holidays and 1 day birthday leave per year • Hybrid working (home + office) • Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product