Senior Applied Scientist

bsport; Paris; Hybride; EUR 50 000 - 75 000; Plein temps

Avantages offerts par ce poste

Competitive salary packages

Hybrid model with 3 days in-office

Discounted HelloCSE membership

Team-building events

Résumé du poste

bsport in Paris is looking for a skilled machine learning engineer to build and deploy AI/ML models that enhance user experience on their platform. In this role, you will drive the development of personalized recommendations and collaborate closely with engineering teams for successful deployments.

We value diversity and want to create an inclusive environment. The position offers a competitive salary and a hybrid work model with flexible remote options.

Qualifications

• 4+ years of experience shipping machine learning in production.
• Fluency in Python and hands-on ML solutions.
• Strong communication skills between technical peers and product stakeholders.

Responsabilités

• Take ownership of product-facing models from definition to deployment.
• Develop AI/ML capabilities for personalization and recommendations.
• Design metrics to demonstrate product impact.

Connaissances

Machine learning

Python

Recommendation systems

Personalization systems

Model deployment

Outils

XGBoost

PyTorch

Databricks

Apache Airflow

AWS

Kubernetes

GitLab CI

ArgoCD

Grafana

Sentry

ELK

Description du poste

bsport is an all‑in‑one platform combining boutique fitness and advanced technology. Our platform helps partners manage bookings, payroll, marketing and other operations to boost commercial success.

About the role

The Data team at bsport is building the intelligence layer behind our product: models that personalise the experience, surface opportunities, and help studios operate and grow. This role brings those models to life within the product itself, moving beyond prototype stage.

What will be your impact

• Take end‑to‑end ownership of product‑facing models, carrying them from problem definition through to a deployed and dependable solution.
• Develop the AI/ML capabilities users experience directly, spanning personalisation, recommendations, LLM‑powered and generative features, embeddings, and forecasting.
• See your work through to production, partnering with engineering on deployment, latency, cost, and ongoing monitoring.
• Establish clear definitions of success for each initiative, designing metrics and evaluation that demonstrate genuine product impact.
• Contribute to the technical direction of applied AI/ML at bsport, shaping team standards.
• Support the development of fellow scientists and engineers.

You would be a great fit if you have

• 4+ years of experience shipping machine learning in production, including models that reached product and moved meaningful metrics.
• A builder mindset, writing production‑grade code and taking responsibility for model deployment.
• Depth in modern machine learning, recommendation and personalization systems, embeddings, and forecasting.
• Fluency in Python and hands‑on ML solutions.
• A track record of taking work from open problem to validated production solution.
• Clear communication, moving comfortably between technical peers and product stakeholders.
• Experience embedding machine learning into live SaaS or consumer product, a strong plus.
• Familiarity with deployment, inference optimization, and model monitoring.

Stack

• Languages: Python
• ML & Modeling: XGBoost, PyTorch
• Data Platform: Databricks, Apache Airflow
• Cloud & infra: AWS, Kubernetes
• CI/CD: GitLab CI, ArgoCD
• Observability: Grafana, Sentry, ELK

Diversity & Inclusion

We welcome applicants from all backgrounds, identities, and experiences. Diversity is one of our most valuable assets, and we are committed to fostering an inclusive environment.

What We Offer

• Competitive salary packages based on experience and role.
• Hybrid model with 3 days per week in the office.
• Up to 15 days of remote work from abroad each year.
• Discounted HelloCSE membership.
• Multicultural colleagues, after‑work events, team‑building & more.

Candidate Flexibility

If you’re excited about this role but don’t meet every qualification, we encourage you to apply. Curiosity, adaptability, and a willingness to learn are just as important to us as specific skills.