Sr. Software Engineer, Machine Learning (Search) - Slack
Cette offre est-elle pour vous ?
Créer mon CV Créez votre CV et découvrez votre pourcentage de correspondance avec ce poste — et avec tous les autres.
Le poste
As a Sr. Software Engineer, Machine Learning (Search), you will design and implement ML-powered features, services, APIs, and models to enhance search, ranking, retrieval, and generative AI use-cases for a large-scale product.
Collaborate with Product Managers, Designers, and Frontend Engineers to brainstorm and ship new features for a growing user base.
Lead or contribute to cross-functional projects with measurable business impact and own the long-term health of your features and systems.
Develop sustainable data collection pipelines and manage ML features, while supporting triage and resolution of production issues with operations and support teams.
Mentor other engineers, perform deep code reviews, and drive improvements in engineering standards, tooling, and processes.
Qualifications include proficiency in Python, Java, Go, Scala, or similar languages; experience with ML frameworks (PyTorch, TensorFlow, Keras, XGBoost, Scikit-learn); batch data pipelines (Spark, Airflow, Dagster, Luigi); and deployment of ML models to production, with familiarity in RAG, embeddings, vector stores, and NLP.
Collaborate with Product Managers, Designers, and Frontend Engineers to brainstorm and ship new features for a growing user base.
Lead or contribute to cross-functional projects with measurable business impact and own the long-term health of your features and systems.
Develop sustainable data collection pipelines and manage ML features, while supporting triage and resolution of production issues with operations and support teams.
Mentor other engineers, perform deep code reviews, and drive improvements in engineering standards, tooling, and processes.
Qualifications include proficiency in Python, Java, Go, Scala, or similar languages; experience with ML frameworks (PyTorch, TensorFlow, Keras, XGBoost, Scikit-learn); batch data pipelines (Spark, Airflow, Dagster, Luigi); and deployment of ML models to production, with familiarity in RAG, embeddings, vector stores, and NLP.
Voir l'offre en entier
Missions, profil recherché, compétences et avantages — en créant votre compte gratuitement.
Déjà un compte ? Se connecter
Offres similaires
D'autres postes qui pourraient vous convenir.
Télétravailpartial
VilleAtlanta, États-Unis