Machine Learning Algo Engineer

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 36 countries.

For more information, visit www.teads.com.

About the opportunity 

We are looking for a seasoned engineer who combines strong backend engineering expertise with proven experience in machine learning. You will play a critical role at the intersection of backend systems, data engineering, and ML infrastructure, building scalable platforms and algorithms that power our large-scale ML workflows. Your work will directly impact the performance, reliability, and scalability of our ML systems, from core infrastructure and model deployment to performance monitoring and KPI optimization.

What will you do?

• Architect and implement efficient, scalable backend systems for high-performance ML workflows, data processing pipelines, and core infrastructure services.
• Develop, adapt, and optimize ML algorithms, contributing to the platform’s core ML capabilities and features.
• Ensure all systems are tested, observable, and optimized, including automated unit, integration, and load testing for ML workloads.
• Optimize infrastructure and algorithms for latency, throughput, and accuracy, tackling production-level challenges in distributed and GPU-enabled environments.
• Collaborate closely with data scientists to implement core infrastructure features and integrate them into the ML platform.
• Stay up-to-date with emerging ML frameworks, distributed systems technologies, and performance optimization techniques to maintain a cutting-edge platform.

What will you bring to the team?

• 4+ years of professional experience in backend and ML-related engineering roles.
• Strong foundation in system design, API development, and performance tuning.
• Experience with ML frameworks such as TensorFlow, PyTorch, and related tooling.
• Master’s in Computer Science, Engineering, or a related technical field is an advantage.
• Passion for clean, maintainable, production-grade code with measurable ML impact.
• Excellent communication skills and a collaborative mindset across engineering, data science, and product teams.

Bonus Points:

• Advanced backend skills with languages including Python, Java, Scala, Go, or Rust.
• Experience with cloud infrastructure (AWS, GCP), AWS Batch, S3, and GPU optimization.
• Familiarity with Spark, Airflow, BigQuery, and large-scale data pipelines.
• Performance engineering expertise: profiling, benchmarking, and tuning ML workloads.
• Prior experience building or maintaining ML flows and production pipelines.

The Team

• The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers
• The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B
• Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes

We care about you:

• Security & Savings: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed).
• Career Development: Continuous investment in our employees' skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder).
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2-3 days remote work per week, more is open to discussion), fully covered parental leave, and reserved daycare places.
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives (women speaking groups, dedicated school partnerships), dedicated charitable time and sustainability actions (Eco Tree, subsidy for eco-mobility).

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.