Match score not available

Unlock Premium Benefits Today!
🚀 Elevate your career with priority access.
Stand out to top recruiters with Jobgether Priority Access:
  • ✅ Top Match: We help you identify job offers where you're a perfect fit.
  • ✅ Exclusive Referral Service: Connect directly with recruiters as a Jobgether Certified Premium User.
  • ✅ Personalized Feedback: Receive feedback and expert guidance on applications, and have your profile manually reviewed.

Start Your Free Trial Now!

Start my free trial

Software Engineer - Machine Learning (PyTorch)

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
United Kingdom

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field and/or equivalent experience, Experience with Python, PyTorch, and enterprise SaaS products, 3+ years of OOP programming, 4+ years in ML algorithm design for user-facing products.

Key responsabilities:

  • Implementing machine learning techniques on customer data to solve business problems
  • Driving changes in algorithms and infrastructure based on findings to enhance platform usability and scalability
Kumo.AI logo
Kumo.AI Scaleup https://kumo.ai/
11 - 50 Employees
About Kumo.AI
Democratizing AI on the Modern Data Stack The team behind PyG (PyG.org) is working on a turn-key solution for AI over large scale data warehouses. We believe the future of ML is a seamless integration between modern cloud data warehouses and AI algorithms. Our ML infrastructure massively simplifies the training and deployment of ML models on complex data. With over 40,000 monthly downloads and nearly 13,000 Github stars, PyG is the ultimate platform for training and development of Graph Neural Network (GNN) architectures. GNNs -- one of the hottest areas of machine learning now -- are a class of deep learning models that generalize Transformer and CNN architectures and enable us to apply the power of deep learning to complex data. GNNs are unique in a sense that they can be applied to data of different shapes and modalities.
See more Kumo.AI offers

Job description

Logo Jobgether

Your missions

Come and change the world of AI with the Kumo team!

The creation of the data warehouse emerged to solve the analytics problem of large amounts of data. Now, we’ve moved from megabytes to gigabytes to terabytes of data storage with no end in sight and companies invest millions of dollars to store and organize that data and only leverage a fraction of it for machine learning.

With Kumo, we are building the first data platform to seamlessly allow machine learning over data warehouses for faster, simpler, and smarter predictions to combat data waste and maximize data value. Query the future with Kumo.

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 and challenging problems 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 solid communication skills and a sense of ownership
Benefits
    • Stock
    • Competitive Salaries
    • Medical, dental insurance
We are an equal opportunity employer and value diversity at 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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Hard Skills

Soft Skills

  • verbal-communication-skills
  • Analytical Thinking
Are you interested?

Software Engineer Related jobs

See more Software Engineer jobs
Sign in or sign up with Google or LinkedIn