Deep Learning Engineer

QuantCo; Paris; Sur place; EUR 50 000 - 80 000; Plein temps

Résumé du poste

QuantCo is seeking a Deep Learning Engineer to join their innovative team in Paris. You will engage in building scalable NLP and Computer Vision products, taking ownership of systems from design through deployment. Ideal candidates hold advanced degrees in Computer Science or Mathematics and boast substantial experience in Python and deep learning technologies.

Prestations

Supportive and diverse team environment

Collaboration with highly skilled colleagues

Opportunities for professional growth

Qualifications

• Experience training deep learning models in NLP and Computer Vision.
• Proficient in Python, with experience in writing production-ready code.
• Ability to work with large, messy data sets.

Responsabilités

• Build and optimize robust deep learning products.
• Collaborate with team members across the project pipeline from design to operation.
• Work on systems impacting millions of users and substantial financial decisions.

Connaissances

Deep Learning

Natural Language Processing

Computer Vision

Python

Formation

BSc, MSc or PhD in Computer Science, Mathematics, or related field

Description du poste

Deep Learning Engineers at QuantCo build robust and scalable products that reach millions of people and interact with billions of dollars. Our engineers own systems end-to-end, collaborating closely with our exceptionally talented colleagues to develop and implement industry-leading models into our clients’ businesses.

As a Deep Learning Engineer, you will be part of a best-in-class team building pioneering NLP and Computer Vision products, applied at scale within some of the largest organisations in the world, set within a highly entrepreneurial and fast-paced environment. From design, testing, and development, to deployment and operation of our models and systems, Deep Learning Engineers at QuantCo work across the entire project pipeline.

Core Requirements

• BSc, MSc or PhD in Computer Science, Mathematics, or a related technical field
• Experience training deep learning models within the following fields; Computer Vision, Natural Language Processing or Graph Neural Networks
• Experience writing production-ready code, deploying and optimising deep learning models, etc.
• Substantial experience programming in Python
• Experience and willingness to work through the challenges associated with large, messy, real-world data sets

What We Offer

You will be part of a smart, supportive, and diverse team that embraces different viewpoints and ideas; revels in finding novel solutions to challenging problems; values our clients and user base; and strives to deliver impactful and cutting-edge solutions. You will learn from and collaborate with highly skilled colleagues, former academic researchers, competitive programmers, and pioneers of groundbreaking products from companies like Google, Meta, Tesla, and Amazon.

About QuantCo

At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.

Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.

We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.

QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.