Staff AI Engineer - AI Startup - Paris

HrFlow.ai; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Join HrFlow.ai as a Staff AI Engineer, where you will lead cutting-edge AI systems that revolutionize recruitment. Collaborate with a diverse team to transform research into impactful solutions, mentor talents, and contribute to open-source projects in a dynamic environment.

Prestations

Competitive salary

Variable compensation

Dynamic working environment

Qualifications

• PhD or Master's degree with relevant experience in applied AI.
• Deep proficiency in Python and ML libraries.
• Experience in deploying AI models in production.

Responsabilités

• Lead design and implementation of scalable AI models.
• Mentor junior researchers and engineers.
• Monitor and optimize deployed models.

Connaissances

Python

Machine Learning

NLP

Data Processing

Model Evaluation

MLOps

Formation

PhD in Machine Learning

Master's degree

Outils

PyTorch

TensorFlow

scikit-learn

AWS

Docker

Description du poste

After two years of intense AI research and development at Ecole Normale Superieure and Ecole Centrale Paris, HrFlow.ai was founded in June 2016 to solve the labor market and employment challenges at scale using the latest innovations in AI.

Having developed a proprietary AI and workflow technology from the ground up that unifies HR data silos, identifies the right candidates for the right jobs without bias, and automates it all, HrFlow.ai has already gained traction with over +1,000 clients, large and small.

HrFlow.ai raised an initial seed round of 2.3M$ in 2018 from some of the most successful technology entrepreneurs in Europe and the United States, including Xavier Niel (Free Telecom & Station F), Dominique Vidal (Index Ventures), Romain Niccoli (Criteo & Pigment), Jean-Baptiste Rudelle (Criteo), Franck Le Ouay (Criteo & LIFEN), Thibaud Elzière (Fotolia & e-Founders), and has since self-funded its growth.

We love AI engineering, problem-solving, and business.

Join our diverse team and help us build the next chapter of our exciting growth!

Your Mission

As a Staff AI Engineer at HrFlow.ai , you will lead the design, development, and deployment of cutting-edge AI systems that power our platform. You’ll work at the intersection of research and engineering, transforming state-of-the-art models into production-ready services that impact millions of job candidates and recruiters.

You’ll collaborate closely with fellow AI scientists, software engineers, and product leaders to drive innovation across the stack—from research experiments to cloud deployments. This is a hands-on role requiring deep technical expertise, strategic thinking, and a passion for production-grade AI.

Responsibilities

• Lead the design and implementation of scalable, production-ready AI models.
• Bridge research and engineering : prototype, evaluate, and deploy deep learning and NLP models.
• Architect and maintain efficient data pipelines for training, inference, and evaluation.
• Collaborate with engineering and product teams to integrate AI features across the platform.
• Mentor junior AI researchers and engineers, sharing best practices and technical vision.
• Contribute to open-source projects and / or publications when aligned with company goals.
• Monitor and optimize deployed models in real-time environments (e.g., cloud, containers).
• Stay on top of the latest AI trends, tools, and benchmarks.

About You - Must Have

• PhD in Machine Learning, Computer Science, Applied Math, or a related field + 3 years in R&D OR Master’s degree + 7+ years of experience in applied AI R&D roles.
• Deep proficiency in Python, with strong experience in ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
• Strong experience with deploying AI models in production environments (e.g., using AWS, Docker, CI / CD pipelines).
• Familiarity with advanced NLP, and retrieval systems is a strong plus.
• Experience designing and optimizing large-scale data processing pipelines.
• Strong understanding of model evaluation metrics, benchmarks, and MLOps principles.
• Clear and effective communicator who thrives in collaborative, cross-functional teams.
• Go fast and learn a lot
• High-impact position and responsibilities without any day being the same.
• Competitive salary and variable compensation

Application process

• Apply on LinkedIn
• Interview with one of our Lead AI Researchers to discuss your experience and qualifications in more detail.
• Interview with our Chief Executive Officer to discuss your fit within our organisation and your career goals.