Insider One05.05.2026
Senior Machine Learning Engineer (AI Decisioning)
Full-Time (Remote)Istanbul
Обязанности
- 01Design, build and release real-time decisioning systems that learn from interaction feedback at scale
- 02Own the modeling logic from how we represent users and signals to how reward attribution closes the loop and improves the next interaction
- 03Move ideas from papers and notebook prototypes including online learning policies and counterfactual estimators to production code that runs behind real-time APIs
- 04Design and build resilient streaming/batch pipelines that feed user state, reward signals, and offline replay
- 05Run honest experiments, A/B test what you ship, design offline evaluation for what you cannot, and kill your own work when it doesn’t outperform against the baseline
- 06Continuously monitor and improve the quality, latency, observability, and scalability of the systems
- 07Collaborate across platform and product teams to turn research-grade ideas into production-grade products
- 08Share context, mentor engineers, raise the technical bar of the team, and help set direction for how we do ML at scale
Требования
- 01Designed and deployed personalization, ranking, or recommendation systems used by real users; improved core engagement metrics (CTR, conversion, retention, revenue) and can talk concretely about the lift
- 02Familiarity with sequential recommendation, ranking, or joint / multi-objective optimization problems where you can't optimize one metric without trading off another
- 03A/B tested the impact you’ve provided and iterated based on what the data said
- 04Comfortable with the messy reality of production ML: cold start, sparse signal, label delay, feedback loops, distribution shift
- 05Solid grounding in probabilistic modelling (Bayesian inference, calibration, hierarchical models) and modern recommender techniques (embeddings, sequence models, LLM-driven content understanding), applied to sequential, ranking, or multi-objective problems
- 06Software engineering, production-quality code and at least one programming language, care about API contracts, testing, and observability, not just notebooks
- 07Built high-throughput real-time or batch pipelines supporting ML training and inference, on AWS (or an equivalent major cloud) comfortable owning a service end to end across compute, storage, networking, and CI/CD
- 08Have moved at least one model from a paper, a notebook, or a whiteboard sketch into a real system that serves traffic, and can speak honestly about what broke along the way
Условия
- 01Curiosity and initiative you love to figure things out and solve complex problems
- 02Collaborative ownership and team/product-first approach
- 03Breadth and depth you’re excited to grow into M-shaped product engineer
- 04Self-organization and full ownership through real-world impact
- 05A strong team that ships and learns together
- 06Continuous mentorship