Senior Machine Learning Engineer (Search)

• Design, build and release AI products/features that solve real user problems
• Design and implement streaming/batch data pipelines to support training and inference
• Write production-ready code, and move it to production with the help of cloud services and CI/CD techniques
• Continuously monitor and improve the quality and performance of the systems
• Learn by doing—while owning real problems and demonstrating end-to-end ownership through all the system
• Build resilient, performant pipelines and services in production
• Own system architecture, performance, observability, and scalability
• Collaborate across teams to turn ideas into impactful products
• Mentor engineers and help set technical direction

• if you feel like you are one of the below:

• Designed and deployed search, ranking, or recommendation systems
• Improved core product discovery metrics (e.g. CTR, conversion, etc.) through AI/ML systems
• Worked with state-of-the-art NLP and Information Retrieval techniques such as transformers, embedding models, vector search, LLMs, RAG, Agents, etc.
• A/B tested the impact you have provided and took actions to make it better

• Built high-throughput real-time or batch ETL pipelines (Spark, Kafka, etc.) supporting ML training/inference
• Managed data orchestration with Airflow or similar frameworks
• Built and scaled feature stores, data lakes, or analytical platforms
• Focused on data quality, wrangling, lineage, and monitoring
• Hands-on with AWS/GCP, Docker/Kubernetes, or MLOps pipelines

• Have strong experience with software architecture and domain-driven design to convert business ideas into working software products
• Designed and implemented robust backend systems for high loads using Java, Python, Go, or similar languages
• Worked on APIs, microservices, or messaging queue systems to serve high-loads smoothly
• Integrated observability, security, and CI/CD pipelines into the systems
• Optimized data indexing, inference speed, API latency, or deployment workflows
• Hands-on experience in container systems, cloud services, infrastructure-as-code, incident-free release of software services (docker, kubernetes, AWS, terraform, feature-toggles, blue-green deployment, etc.)

• Curiosity and initiative—you love to figure things out and solve complex problems
• Collaborative ownership and team/product-first approach
• Breadth and depth—you’re excited to grow into M-shaped product engineer
• Self-organization and full ownership through real-world impact
• A strong team that ships and learns together
• Continuous mentorship and technical coaching

• “Tech Talks” with famous and groundbreaking people from the software world, “Dev Talks” where our Software Developers talk about their career steps, and many events where groundbreaking ideas are discussed,
• Hackathons we organize inside that push the boundaries, programming challenges, and coding competitions,
• free access to exclusive services such as Laracasts, Egghead, LinkedIn Learning, Blinkist, Masterclass, and Spotify,
• Inclusive Private Health Insurance,
• Smart Work Model side benefits to support food and bill expenses,
• The infamous Team Activities that are bursting with fun,
• No Dress code! This is a fast and innovative startup, you can wear whatever you want.
• Remote Work! Work anywhere you'd like in Turkey.

We provide equal opportunity in a zero-discrimination workplace and not just welcome but also embrace everyone without regard to sex, race, color, nationality, religion, gender identity, sexual orientation, disability status, citizenship, or marital status.

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