Description
Before jumping into all the information about the role and what you can bring to the table, let us introduce ourselves real quick.
About us
We are Insider, the fastest-growing global MarTech scale-up and the #1 AI-native Customer Experience and Marketing platform trusted by enterprise brands worldwide. Our story began with six desks and a vision to create a single platform to make industry-first CX technologies and emerging channels accessible to marketers worldwide. Today, with 1500+ teammates across 50+ nationalities, we continue to push the boundaries of what’s possible in CX. Our architecture brings together unified customer data, advanced journey orchestration, and comprehensive AI capabilities by seamlessly blending predictive, generative, and agentic AI into a single customer engagement platform that empowers teams to activate customer engagement across 12+ channels.
We recently raised one of the largest funding rounds in the industry, a $500M Series E led by General Atlantic. We are backed by top-notch investors, including Sequoia Capital, QIA, Riverwood, and Endeavor Catalyst, and trusted by 1200+ brands from high-growth startups to the most prestigious Fortune 500 companies such as Samsung, Nike, L’Oreal, Singapore Airlines, Nestlé, Nissan, Lenovo, Puma, IKEA, Allianz, Domino's, and the list goes on.
Insider was congratulated for becoming one of the only woman-founded, women-led B2B SaaS unicorns in the world, achieving $200M in CARR (Committed Annual Recurring Revenue). According to Gartner, we are the dominant leader in Multichannel Marketing. Don’t just take our word for it — see for yourself. We consistently outperform and continue our leadership, and the results speak for themselves.
From day one, Insider’s mission has not been only to build a world-class product company, but also to create one of the most socially progressive technology communities in the world. Through our corporate social responsibility initiatives like 100 Social Responsibility Projects, AI Training for Teachers, Code Academy, SheCodes, SheLeads, and SheMarkables, our community has committed to scaling its impact on our communities across 27+ countries, driving initiatives in health, education, farming, animal rights, and increasing women’s representation in STEM.
Behind all these achievements is an exceptionally talented, visionary team of overachievers across 27+ countries that moves fast and agile, creating cutting-edge products, and focuses on making an impact. If you want to be a part of this journey, just keep reading.
And now? Now we are looking for a Machine Learning Engineer who wants to take their career one step further. If you think you are one of those people, here you will have the chance to work with the world's leading brands with Artificial Intelligence & Machine Learning technologies. Right now, while you are reading this, we are sending an average of 2.2 billion requests and almost 2 billion instant notifications to more than 450 servers a day. On the Artificial Intelligence and Predictive side, we have more than 100 TB of historical data. We do not wait for jobs or opportunities to come to our feet, we create them. We have now reached 25% of global users. If all these interests you, read on for more!
Our Engineers and Software Developers always think with an innovative perspective, taking advantage of the inexhaustible power of the digital world. They create impressive and intelligent products like a true artist. Our Product and Development teams are located in our Istanbul office, so we produce and develop the technology we export to the world in our own country. As Insider, we believe in cooperation and adapting the innovations brought by technology by acting fast. We work closely with other Departments with agile teams, and we are not afraid of getting our hands dirty. As we said; we do not wait for jobs or opportunities to come to our feet, we create them ourselves. You can check our Tech Stacks here!: https://www.stackshare.io/companies/useinsider
Here's what defines our Search team:
At Insider, we’re building AI-powered systems that make product discovery faster, more relevant, and deeply personalized. From semantic search to suggestions, from merchandising to analytics, our products are driven by impactful AI/ML techniques.
We believe in M-shaped development culture: engineers with depth in few core areas and curiosity to expand across the stack. You'll collaborate with different functions and be hands-on across the full stack: from data and modeling to software systems and observability. You’ll grow quickly, owning meaningful pieces of the products with ultimate support from experienced engineers and scientists around you.
A Machine Learning Engineer in Insider day in and day out:
- 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
We are Looking for YOU
- 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.)
Senior Data Scientist (NLP, Search, Recommendation)
Senior Data Engineer
Senior Software Engineer
What we value:
- 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
While exporting our technology to the world, we also offer you:
- “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 monthly food 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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