Remote Machine Learning Algo Engineer

Description:

• Teads is seeking a seasoned Machine Learning Algo Engineer with strong backend engineering expertise and proven experience in machine learning.
• The role involves building scalable platforms and algorithms that power large-scale ML workflows, impacting the performance, reliability, and scalability of ML systems.
• Responsibilities include architecting and implementing efficient, scalable backend systems for high-performance ML workflows, developing and optimizing ML algorithms, ensuring systems are tested and optimized, and collaborating closely with data scientists.
• The engineer will stay updated with emerging ML frameworks, distributed systems technologies, and performance optimization techniques.

Requirements:

• Candidates must have 4+ years of professional experience in backend and ML-related engineering roles.
• A strong foundation in system design, API development, and performance tuning is required.
• Experience with ML frameworks such as TensorFlow, PyTorch, and related tooling is essential.
• A Master’s degree in Computer Science, Engineering, or a related technical field is an advantage.
• A passion for clean, maintainable, production-grade code with measurable ML impact is necessary.
• Excellent communication skills and a collaborative mindset across engineering, data science, and product teams are required.
• Bonus points for advanced backend skills in languages like Python, Java, Scala, Go, or Rust, experience with cloud infrastructure (AWS, GCP), familiarity with Spark, Airflow, BigQuery, and performance engineering expertise.

Benefits:

• Teads offers an attractive compensation package, including profit-sharing, daily meal vouchers, family health insurance, and a personalized relocation package if needed.
• Continuous investment in employee skills through in-house and external training, tech conference opportunities, and internal mobility options are provided.
• Employees enjoy a well-balanced work-life with 35+ days off per year, hybrid work options, fully covered parental leave, and reserved daycare places.
• The company prioritizes employee well-being with premium work equipment, a supportive work environment, remote work subsidies, and initiatives promoting diversity and inclusion.