Summary
Join Insider, a leading B2B SaaS company, as a Machine Learning Engineer and contribute to AI-powered systems that enhance product discovery. You will design, build, and release AI products, implement data pipelines, write production-ready code, and continuously monitor system performance. Collaborate with cross-functional teams, mentor engineers, and contribute to impactful products. Insider offers a unique M-shaped development culture, promoting both depth and breadth of expertise. The company values curiosity, collaboration, and ownership, providing opportunities for continuous learning and growth.
Requirements
- Senior Data Scientist (NLP, Search, Recommendation)
- 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
- Senior Data Engineer
- 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
- Senior Software Engineer
- 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.)
Responsibilities
- 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
Preferred Qualifications
- 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
Benefits
- ���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