BREEGA

www.breega.com

2 Jobs

52 Employees

About the Company

At Breega, we back world-class founders for the future. We’re not simple investors - we’re entrepreneurs who’ve built, scaled, and learned what it really takes to grow. Our forte is not just writing checks: it’s rolling up our sleeves - with our Scaling Squad, our portfolio companies get hands-on expertise in hiring, sales, marketing and strategy so they don’t just expand, they dominate. We partner with outliers rewriting the rules of Digital, Climate, and Deep Tech from pre-Seed to Series A+ across Europe and Africa. Since 2015, we’ve grown to €700M AUM, with main offices in London and Paris and deep roots in the most thriving tech hubs across both continents, as well as a portfolio of 110+ bold startups—Exotec, Alice & Bob, Moneybox, 011H, etc—each pushing the boundaries of what’s possible. Certified BCorp

Listed Jobs

Company Name: BREEGA
Job Title: Fullstack Software Engineer - @malibou
Job Description: **Job Title** Fullstack Software Engineer **Role Summary** A Fullstack Engineer will collaborate closely with a small tech and product team to develop, enhance, and maintain a SaaS application used by 5,000+ users across 500 companies. The role requires hands‑on development, architectural judgment, and proactive incident handling in a fast‑growing startup environment. **Expectations** - 1+ year of fullstack development experience. - Strong product sense and ability to balance feature value against technical debt. - Clear communication skills and willingness to learn, iterate, and self‑reflect. - Passion for building scalable, user‑centric systems. **Key Responsibilities** - Design, code, test, and deploy features using Next.js (TypeScript) for the frontend and Serverless TypeScript for the backend. - Model complex business and data requirements in PostgreSQL (Supabase) with Prisma ORM. - Integrate third‑party services (Resend for email, ClerkJS for authentication). - Contribute to architectural decisions and developer experience (devX) improvements. - Monitor production health with Sentry, resolve incidents, and implement preventive measures. - Collaborate on CI/CD pipelines (GitHub Actions) and project management (Notion, Figma). - Engage in code reviews, pair‑programming, and cross‑functional product discussions. **Required Skills** - Proficient in JavaScript/TypeScript and modern JS frameworks (e.g., Next.js, React). - Experience building backend services (Serverless, functional frameworks). - Comfortable with SQL databases, PostgreSQL, and ORM tools (Prisma). - Familiarity with cloud-based services (Supabase, Vercel). - Knowledge of email delivery services, authentication libraries, and monitoring tools (Resend, ClerkJS, Sentry). - Understanding of CI/CD and version control (GitHub Actions, Git). - Ability to write clean, maintainable code and conduct thoughtful code reviews. - Strong problem‑solving skills and a proactive attitude toward incident management. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). - No mandatory certifications, but familiarity with relevant cloud, security, and DevOps concepts is advantageous.

Company Name: BREEGA
Job Title: Data Science / Deep Learning Intern @InSpek
Job Description: Job Title: Data Science / Deep Learning Intern Role Summary: Assist R&D by developing deep learning models for Raman spectroscopy data, focusing on synthetic data generation, transfer learning, and domain adaptation to improve spectral prediction across instruments. Expectations: - 6‑month internship starting January. - Work closely with AI application team; collaborate across disciplines. - Deliver code, experiments, and documentation for deep learning pipelines. Key Responsibilities: - Design and train neural networks (PyTorch/TensorFlow) for spectral modeling. - Build augmentation, transfer learning, and domain adaptation pipelines (e.g., CORAL, MMD, adversarial learning). - Generate synthetic Raman spectra via instrument-response simulation and cross‑instrument modeling. - Explore generative models (GANs, VAEs, autoencoders) for data augmentation and latent space sampling. - Evaluate synthetic data impact on model performance and generalization. - Document methodology, results, and maintain reproducible code repositories. Required Skills: - Hands‑on deep learning experience (internship or academic project). - Proficiency in PyTorch or TensorFlow. - Familiarity with GANs, VAEs, or autoencoders. - Knowledge of transfer learning, domain adaptation, and data augmentation techniques. - Basic signal processing for 1D data; experience with spectroscopy is a plus. - Strong analytical, problem‑solving, and communication skills in English. - Self‑motivated, creative, and comfortable in a multidisciplinary environment. Required Education & Certifications: - Current enrollment or recent graduation in Data Science, Machine Learning, Deep Learning, or related field. - No specific certifications required.