Machine Learning Engineer (Search)
Job Summary
Job Description
Insider, a B2B SaaS company and a leader in AI-native Customer Experience and Marketing platforms, is seeking a Machine Learning Engineer to join their Search team. This role involves designing and building AI-powered systems for product discovery, including semantic search, suggestions, and personalization. The engineer will be responsible for creating AI products and features that solve real user problems, designing and implementing data pipelines for training and inference, writing production-ready code, and continuously monitoring system performance. The company emphasizes an innovative and agile approach, working closely with other departments and utilizing cloud services and CI/CD techniques. Insider has achieved unicorn status, is backed by top investors, and is recognized globally for its software products and social responsibility initiatives. The role offers the opportunity to work with global brands and substantial data volumes.
Must have:
- Strong problem-solving and critical thinking
- Solid understanding of data structures and algorithms
- Experience with data analysis and management
- Exposure to AI/ML concepts (Supervised Learning, NLP, etc.)
- Interest in building end-to-end products
Good to have:
- Involvement in academic AI/ML projects
- Familiarity with Backend/API development
- Experience with cloud services (AWS/GCP/Azure)
- Experience solving real-world problems
Perks:
- Tech Talks and Dev Talks
- Hackathons and coding competitions
- Access to online learning platforms (Laracasts, Egghead, etc.)
- Inclusive Private Health Insurance
- Smart Work Model benefits for food and bills
- Team Activities
- No dress code
- Remote work within Turkey
13 skills required
Job Details
Before jumping in on 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, a B2B SaaS company that drives growth for its clients around the world. How are we achieving this? We are the #1 AI-native platform for Customer Experience and Marketing—offers marketers a single platform to deliver unique experiences per person, drive profitable growth, and unleash peak productivity and efficiency. Our platform connects data across channels, predicts future behavior with AI, and individualizes experiences from a single platform.
We have just celebrated our $500M Series E funding round, led by General Atlantic. Before this, we’ve unlocked unicorn status following our Series D round. 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, Coca-Cola, Nike, L’Oreal, Singapore Airlines, Virgin, Nestle, Nissan, Lenovo, Puma, IKEA, Allianz, Dominos, CNN, and the list goes on.
Having unlocked unicorn status, Insider was congratulated for becoming one of the only woman-founded, women-led B2B SaaS unicorns in the world, to achieve $200M in CARR (Committed Annual Recurring Revenue). Insider was named a leader in The Forrester Wave for Cross-Channel Campaign Management 2021, and Leader in the IDC MarketScape: Worldwide Omnichannel Marketing Platforms for B2C Enterprises 2023 Assessment. The company has been recognized in The Top 1% of all software companies worldwide in G2’s 2024 Software Awards, and named in The Top 10 Best Software Products with the most #1 rankings alongside other software legends like Google, Zoom, and Monday.com. According to G2’s Spring’24 reports. Insider is also the #1 G2 Leader in 6+ categories, including Customer Data Platforms (CDP), Personalization Engines, Personalization Software, Mobile Marketing, Customer Journey Analytics, and e-commerce Personalization.
When our team founded Insider, they not only sought to create a product company but also to build the most socially progressive technology community in the world. Through our corporate social responsibility initiatives like 100Projects SheCodes, SheLeads, and SheMarkables, our community has committed to scaling its impact into our communities across 27+ countries, spearheading transformative projects in areas such as health, education, farming, animal rights, and increasing the proportional representation of women in STEM careers.
Behind all these achievements, there is an exceptionally talented and passionate team across 27+ countries that moves fast and agile, creates cutting-edge products, and focuses on making an impact. If you want to join us on 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
We want you to join us while we are taking a step into the future if you likely have:
- Strong problem-solving skills and critical thinking ability combined with a growth mindset
- Solid understanding of data structures, algorithms, and object-oriented programming
- Experience with data analysis and management
- Exposure to AI/ML concepts: Supervised Learning, NLP, Embeddings, Transformers, Computer Vision, Information Retrieval, LLMs, RAG, Agents, etc.
- Interest in building end-to-end products; not just models or a piece of code of a huge system
- Involvement in academic projects leveraging AI/ML concepts
- Familiarity with Backend/API development or cloud services (AWS/GCP/Azure)
- A story to tell about a real-world problem solving or business-related achievement
and it would be a strong plus if you have any of below:
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 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.
Similar Jobs
Ubisoft
Bordeaux, Nouvelle-Aquitaine, France (Hybrid)
• 4 Months ago
Brillio
Jersey City, New Jersey, United States (Hybrid)
• 2 Weeks ago
San Francisco, California, United States (Hybrid)
• 3 Weeks ago
Get notifed when new similar jobs are uploaded
Similar Skill Jobs
Get notifed when new similar jobs are uploaded
Jobs in Istanbul, İstanbul, Türkiye
Roof Stacks
Istanbul, İstanbul, Türkiye (Hybrid)
• 2 Months ago
USE Insider
Istanbul, İstanbul, Türkiye (Remote)
• 1 Month ago
Roof Stacks
Istanbul, İstanbul, Türkiye (On-Site)
• 3 Months ago
Get notifed when new similar jobs are uploaded
Research Development Jobs
Keywords Studios
Silesian Voivodeship, Poland (On-Site)
• 4 Months ago
Mountain View, California, United States (On-Site)
• 3 Months ago
C3 IoT
Redwood City, California, United States (On-Site)
• 2 Months ago
Microsoft
London, England, United Kingdom (On-Site)
• 4 Months ago
Apple
San Francisco, California, United States (On-Site)
• 3 Months ago
Ubisoft
Bordeaux, Nouvelle-Aquitaine, France (Hybrid)
• 4 Months ago
Get notifed when new similar jobs are uploaded
