Deep Learning Engineering Intern

QuantCo; Paris; Sur place; EUR 45 000 - 75 000; Plein temps

Résumé du poste

A leading company in data science, QuantCo is seeking a Deep Learning Engineer with expertise in NLP and Computer Vision. You will join a dynamic team to design, develop, and deploy models impacting core business decisions across major organizations globally. This role offers the chance to work alongside top professionals and contribute to cutting-edge technology solutions.

Prestations

Collaborative work environment

Diverse team and viewpoints

Opportunities for professional growth

Exposure to impactful projects

Qualifications

• Theoretical or applied knowledge of deep learning models.
• Experience training models in Computer Vision or NLP.
• Open to varying degrees of experience in relevant fields.

Responsabilités

• Build robust models that interact with large datasets.
• Engage in the full project pipeline from design to deployment.
• Collaborate with a diverse team to innovate solutions.

Connaissances

Deep Learning

Computer Vision

Natural Language Processing

Python

Formation

BSc, MSc or PhD in Computer Science, Mathematics, or a 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.

Requirements

• BSc, MSc or PhD degree in Computer Science, Mathematics, or a related technical field
• Theoretical or applied knowledge of deep learning models within the fields of Computer Vision, Language Models, or a related field
• Experience training Deep Learning models, ideally within the following fields; Computer Vision, Natural Language Processing, Graph Neural Networks
• Experience programming in Python

We are open to varying degrees of experience. We encourage applicants with a mix of the above, rather than demonstrable experience within all fields.

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.