Senior Backend Engineer - ML Platform at Teads Ltd

Netanya, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, Java, Scala, Go, Python, System Design, API Development, Distributed Systems, Testing, Release Management, Observability, Troubleshooting, Data Processing, ML Flows Deployment, Low-Latency Systems, Communication

Industry

Advertising Services

Description

About Teads Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 30+ countries. For more information, visit www.teads.com. Our main Engineering challenges at Teads Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies. Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge Work in an international environment with offices located in Israel, Slovenia and France. About the opportunity We are seeking a highly skilled Senior Backend Engineer to join our Machine Learning Platform group. In this role, you will tackle complex challenges at the intersection of backend and data engineering to build and optimize the infrastructure supporting machine learning models and large-scale data workflows. You will be responsible for designing, developing, and integrating ML models in our systems. Collaboration with data scientists and cross-functional teams will be key to delivering production-ready solutions that drive impactful business outcomes. What will you do? Design, develop, and optimize backend systems for scalable and efficient data processing, particularly in machine learning workflows. Develop and maintain ML flows deployment, ensuring smooth integration between systems. Solve complex design and scale challenges, focusing on performance and low-latency systems that support ML and data-heavy applications. Collaborate with data scientists, product, and other backend engineers to design end-to-end solutions, integrating ML models with the infrastructure. Ensure that all backend systems are tested, optimized, and continuously monitored, including writing, running, and automating unit, functional, and load tests. Stay up-to-date with emerging technologies and contribute to the ongoing improvement of backend systems, ML workflows, and data engineering tools What You Will Bring to the Team: 5+ years: of experience in software development, with a focus on Backend engineering Deep proficiency: in Java/Scala/Go and Python Strong foundation: in system design, API development, and distributed systems Commitment to Quality: A passion for writing clean, performant, and thoroughly tested code Production Expertise: Proven experience with release management, observability, and troubleshooting Communication: Excellent communication skills and ability to work collaboratively within a team. You are an active listener and a dialogue facilitator, you know how to explain your decision and like sharing your knowledge. We care about you Hybrid working model (3 days per week in the office) Nearby parking available Expand your toolbox with our mentorship program and internal learning tools Pet friendly office Happy hours …and of course a fully stocked kitchen! Please submit your CV in English #LI-Hybrid Life at Teads At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies. As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out: We've merged two open internet category leaders—Outbrain and Teads—to create the ‘new’ Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web. As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning. Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role. Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.

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Responsibilities

The role involves designing, developing, and optimizing backend systems for scalable data processing, particularly for machine learning workflows, and developing/maintaining ML flow deployment for smooth system integration. Key tasks include solving complex design and scale challenges for low-latency ML applications and collaborating with data scientists to integrate models into infrastructure.