Overview
Software Engineer – Machine Learning/PyTorch Jobs in London – England – UK at Kumo
Title: Software Engineer – Machine Learning/PyTorch
Company: Kumo
Location: London – England – UK
Category: IT/Tech, Software Development
Position: Software Engineer – Machine Learning (PyTorch)
You will be working with many datasets from real-world applications and applying state-of-the-art machine learning techniques developed in Kumo to directly impact a customer’s business needs. This will require using your ML and AI knowledge to solve critical andchallengingproblems to better serve our customers. You will drive the changes in the core algorithm and infrastructure based on the findings of the engagement to make the platform easier to use and to scale automatically modeling problems and datasets.
Your Foundation:
You want to solve real-world problems and get things done.
Must have:
Python, and PyTorch, working with enterprise SaaS products
You are able to abstract the patterns from many specific examples and understand how we need to evolve the platform to avoid the same issues slowing us down repeatedly.
Bachelor’s degree in Computer Science or related technical field or equivalent technical experience
Must have 3+ years of experience programming in OOP languages like Python, or C++
4+ years experience in designing ML algorithm solutions, specifically on search and recommender systems, for user-facing products
Your Extra Special Sauce:
Ph.D. Degree in Computer Science or Machine Learning or related technical discipline, or related practical experience.
Ideal candidate is a top contributor to PyTorch OSS, with experience in Graph Neural Networks(GNNs)
Experience developing large-scale systems
Ability to diagnose technical problems, debug code, and automate routine tasks
Analytical approach coupled with solidcommunication skillsand a sense of ownership
Benefits
Stock
Competitive Salaries
Medical, dental insurance
We are an equal opportunity employer and valuediversityat our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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