Top Machine Learning Jobs in Paris

As a Quantum Scientist, you will develop theoretical models of superconducting qubits, create numerical methods for their study, and collaborate with engineers and physicists to optimize quantum device performance.

The Scientist Bioinformatician performs bioinformatics research to support clinical stages, develops algorithms, and collaborates on data extraction and analysis.

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

Develop NLP models for legal documents in German, maintain models in production, design conversational agents, and collaborate with teams to enhance product development.

As a Campus Quantitative Researcher Intern, you will engage in intensive research projects, training in trading and quantitative analysis, and collaborate with trading teams under mentorship.

The internship focuses on enhancing quantitative and programming skills, involving rotations with trading teams to develop predictive models and automated trading strategies.

Define and execute product strategy for consumer AI tools, leveraging market insights and user needs to drive product development and collaboration across teams.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

As a Senior Machine Learning Operations Engineer, you will optimize ML release pipelines, build data visualization systems, mentor engineers, and enhance cost-effective data processing solutions.

The Product Specialist - Gen AI will drive adoption of Gen AI solutions, provide technical leadership, and act as a bridge between product management, sales, and engineering to enhance customer success.

The Technical Program Manager will design and operationalize systems to drive execution in the science organization, ensuring projects progress smoothly and align with research goals.

Lead the Applied ML team to create AI solutions for enterprises, manage ML engineers, and collaborate with customers and executives on initiatives.

The Product Manager will integrate AI and automation into operations, driving product strategy, collaboration, and market advancements in trading and risk management.

The Principal Engineer - Data Science leads engineering processes, provides technical consultation, and supports project management while mentoring engineers and driving technical innovations.

As Senior Compute Legal Counsel, you will define Mistral's compute strategy, draft contracts, advise on compliance, and collaborate with teams to drive the business forward.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

You will conduct model training, improve architectures, design experiments, and oversee team activities. A strong background in machine learning research is required.

Design and improve end-to-end ML/AI pipelines while building high-quality production code and addressing new use cases. Collaborate with client data and enhance LLM training.

The intern will assist the applied machine learning engineering team in developing recommender systems, training models, and enhancing the core recommendation platform.

As an Applied AI Intern, you will support the deployment of AI applications, collaborate with teams on customer projects, and enhance product capabilities based on user feedback.

The Senior Customer Engineer will guide clients in using Moloco's machine learning-driven advertising platform, offering technical advice, leading implementations, and providing training and best practices to enhance client success.

The AI Senior Financial Engineer will design and implement ML models, develop data pipelines, optimize performance, and collaborate within cross-functional teams to enhance investment analysis in private equity.

As a Quantum Experimentalist, you'll optimize cat-qubit processors, integrate ML into design, collaborate with theorists, implement measurements, and enhance experimental setups.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.