Senior Machine Learning Engineer - Open Application

Reposted 22 Days Ago
Be an Early Applicant
Hiring Remotely in Ljubljana, SVN
Remote or Hybrid
Senior level
AdTech • Artificial Intelligence • Digital Media • Marketing Tech
The Global Platform for Elevated Outcomes.
The Role
As a Senior Machine Learning Engineer, you will enhance ML tools, develop robust algorithms, mentor team members, and ensure quality production code.
Summary Generated by Built In

About Teads

Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries.

For more information, visit www.teads.com.

Don’t see the perfect position for you?

Apply here and add your resume to our Machine Learning Talent Network! We’re always excited to connect with talented professionals who are passionate about high traffic environment and managing big amounts of data.

This is not an active job posting and you will only be contacted if there is a future role that fits your skillset.


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
What will you do?

As a Senior Machine Learning Engineer, your mission will be:

  • Improve existing ML library & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
  • Create, design, develop, test and monitor your code in production autonomously and reliably.
  • Design, develop, and implement ML models and algorithms with a focus on robustness, performance, and scalability.
  • Collaborate with data scientists to identify and apply effective machine learning techniques and strategies for improved system performance.
  • Mentor other team members to improve their autonomy and Software Engineering skills.
  • Collaborate with variety of teams for production cases to develop services from design to production.
  • Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
  • Keep up to date with the latest Machine Learning technologies to make sure we constantly improve our ML system.
What will you bring to the team?
  • Strong programming skills with a focus on Python, Java, Scala and proficiency in software engineering practices such as testing, debugging, and performance tuning.
  • Hands-on experience implementing machine learning algorithms, particularly in production environments.
  • Strong problem solving skills.
  • Strong communication skills, with the ability to collaborate effectively across teams and explain complex technical concepts clearly.

Bonus Points:

  • Knowledge of Data Engineering tools (e.g. Spark, Airflow, ...).
  • Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch,..).
  • Performance engineering capabilities, including profiling and optimizing algorithms and systems for high efficiency and low latency.
  • Experience working with cloud-based infrastructures (e.g., AWS, GCP).
  • A Master’s or PhD in SC/Math.
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
  • Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
  • Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
  • 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, etc. 

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.

Skills Required

  • Strong programming skills with a focus on Python, Java, Scala
  • Hands-on experience implementing machine learning algorithms
  • Strong problem-solving skills
  • Strong communication skills

Teads Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Teads and has not been reviewed or approved by Teads.

  • Retirement Support Feedback suggests the retirement program includes employer matching and is viewed as a strong component of total rewards. This provides structure for long‑term savings.
  • Parental & Family Support Feedback suggests parental leave is generous for both primary and secondary caregivers, with adoption and fertility support and a return‑to‑work program. Family‑oriented policies are highlighted as a standout element.
  • Leave & Time Off Breadth Feedback suggests time off is broad, with flexible PTO, company‑wide holiday closures, and paid volunteer time. Wellness and mental‑health days further expand available leave options.

Teads Insights

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The Company
HQ: New York, NY
1,840 Employees

What We Do

About Teads Outbrain Inc. (Nasdaq: OB) and Teads S.A. combined on February 3, 2025 and are operating under the new Teads brand. The new 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, 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, the new 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.

Why Work With Us

We’re redefining advertising on the open internet through innovation, global collaboration, and meaningful impact. With career growth, internal mobility, flexible work, and a culture rooted in diversity and belonging, you’ll not only keep up with change, you’ll help to drive it.

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