Lead Machine Learning Engineer
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Aug 29, 2026.
Join our team as a Lead Machine Learning Engineer, where you will play a crucial role in developing and optimizing advanced models and applications for our ad-serving platform and search solutions. You will collaborate with various teams, contribute to strategic initiatives, and have opportunities for personal and professional growth. Your responsibilities will include managing the end-to-end lifecycle of AI/ML projects, implementing best practices in MLOps, and mentoring junior team members.
Missions
- Conduire la gestion du cycle de vie des projets d'IA/ML de bout en bout, de la conception à la maintenance.
- Mettre en œuvre et promouvoir les meilleures pratiques en matière d'MLOps, y compris la collecte de données, les pipelines d'entraînement des modèles, les déploiements de modèles.
- Contribuer de manière significative aux décisions d'architecture des modèles, en tirant parti des techniques d'apprentissage automatique, d'apprentissage profond et d'apprentissage par renforcement.
Profil recherché
- 2+ years of experience in building AI/ML models in at least one of the following domains: Ads, relevance, ranking, recommendation systems, and search- PhD with 5+ years of experience or MS with 5-8+ years of industry experience in AI/ML, developing and deploying production-grade ML systems
- 3+ years of experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworks
- 2+ years of experience in Python and proficiency with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure
- Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment
- 2+ years of experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML
- 3+ years of experience in building distributed, low-latency, high-throughput batch and online ML services
- 5+ years of experience in building ML models for ads, search and/or recommender systems including CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models
- 2+ years of experience in building and deploying online experimentation frameworks to identify right models and features at scale
- 2+ years of experience in building ad selection frameworks using reinforcement learning or contextual bandits
- Experience in fine tuning LLMs
- 1+ years of experience in building products using Generative AI powered autonomous agents