Top Tech Jobs & Startup Jobs

Lead development and deployment of deep learning, NLP, and multimodal AI models for personalized learning and AI tutors. Drive research, prototype solutions, collaborate with product and engineering teams, and mentor junior scientists while ensuring scalable production pipelines and ML best practices.

Lead product-focused analytics: run and analyze A/B tests, model feature impact, define KPIs and tracking, uncover retention and monetization insights, and communicate findings to shape the product roadmap.

Own and evolve Preply's ML platform: design experiment tracking, artifact management, GPU training and scalable inference, CI/CD for ML, observability, and LLM/RAG capabilities while mentoring engineers and aligning platform delivery with product goals.

Lead backend architecture and implementation for scalable systems, build and integrate backend services, scope and drive cross-functional initiatives, mentor engineers, improve performance/observability, and ensure reliability while collaborating with product, design, and data teams.

Design, prototype, and deploy state-of-the-art multimodal neural search and ranking models for personalized learning. Collaborate cross-functionally, mentor junior scientists, and establish ML best practices from research through production.

Lead and deliver backend systems and integrations at scale. Set technical direction, scope cross-functional initiatives, mentor engineers, improve performance and reliability, and collaborate with product, design, and data teams.

Design, build, and own Preply's data lake and end-to-end batch and streaming ingestion pipelines. Implement data contracts, quality checks, enrichment logic, observability, governance, and self-service tooling. Collaborate cross-functionally to ensure production-ready, reliable, and discoverable datasets for analytics, ML, and product.

Lead and execute strategic end-to-end engineering initiatives for the Learning Teams. Define architecture and technical roadmaps, evolve core services for scalability and reliability, improve developer experience and engineering practices, mentor senior engineers and tech leads, and make build-vs-buy and vendor decisions to deliver measurable product outcomes.

Lead technical strategy and roadmaps for Learning Teams; drive end-to-end strategic initiatives, evolve architecture and core services for scale and reliability, improve developer experience, mentor senior engineers, and make build-vs-buy and vendor/tooling decisions.

Lead and grow engineering teams building scalable Python/Django applications focused on learner growth and monetization. Drive technical strategy, execution, cross-functional partnership, code quality, and developer coaching to deliver measurable product and business outcomes.