Senior Backend Engineer - Data Science Team
- Translate notebooks and prototypes into robust, maintainable production services for training, inference, and evaluation.
- Design, implement, and optimize services and data flows for batch and real-time ML use cases, focusing on throughput, latency, resiliency, and cost.
- Collaborate closely with data scientists on problem framing, feature strategies, experiment design, and metrics; ensure rigor, reproducibility, and traceability across the lifecycle.
- Build clear, well-documented APIs for model-powered features; handle schema evolution and backward compatibility.
- Establish strong testing and reliability practices: unit, integration, performance, and end-to-end tests; automate benchmarks and regression checks for both code and models.
- Partner with the AI platform team to leverage shared infrastructure and CI/CD; provide feedback to evolve platform capabilities based on product needs.
- Drive observability and incident response for model-backed services: logging, metrics, tracing, alerting.
- Contribute to architectural decisions for scalable, distributed services that support data-heavy and low-latency applications.
- 5+ years of professional software development experience focused on backend/services and distributed systems.
- Mandatory: strong Python skills for production-grade code (notebooks-to-services, packaging, testing).
- Strongly preferred (not mandatory): very good Scala skills.
- Solid system and API design fundamentals; ability to reason about consistency, concurrency, throughput, and latency.
- Practical understanding of core data science and ML concepts: supervised/unsupervised learning, feature engineering trade-offs, cross-validation, leakage prevention, evaluation metrics and experiment design.
- Experience shipping and operating model-backed services in production, including release management, observability, performance tuning, and troubleshooting.
- Commitment to high-quality code: clear abstractions, defensive programming, and comprehensive tests.
- Excellent communication and collaboration skills; you can explain trade-offs, align stakeholders, and help bridge research and production.
- Experience with real-time inference and low-latency serving, including GPU-aware performance tuning.
- Background in ranking, recommendations, forecasting, NLP, or fraud/anomaly detection.
- Security & Savings : Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan).
- 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 days remote work per week), fully covered parental leave.
- 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 the support, tools, and development opportunities you need to excel in your role.
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