Senior Machine Learning Engineer

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Insider Logo

Insider

📍Remote - Turkey

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
This job is filled or no longer available