Senior Machine Learning Engineer

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 skills. The company values curiosity, collaboration, and ownership. This role requires experience in designing and deploying search, ranking, or recommendation systems, working with NLP and Information Retrieval techniques, and building high-throughput data pipelines. Insider provides a supportive environment with continuous mentorship and technical coaching.

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