Machine Learning Engineer
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.
- 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.
- 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 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
- 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).
- 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 all the support, tools, and development opportunities you need to excel in your role.
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