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HA
Machine Learning Engineer
Handshake · San Francisco, United States
About The Role
Join Handshake, a company dedicated to democratizing access to opportunity through machine learning. As a Machine Learning Engineer, you will have end-to-end ownership of the ML lifecycle, directly impacting millions of users and driving critical business metrics. You will work with cutting-edge infrastructure and contribute to responsible AI practices. Enjoy comprehensive benefits, including health insurance, fertility and family forming support, mental health resources, 401k match, equity, and flexible time off.
- Développer et itérer sur des modèles et des fonctionnalités d'apprentissage automatique qui influencent directement l'expérience utilisateur.
- Collaborer avec des ingénieurs seniors, des scientifiques des données et des chefs de produit pour développer et itérer sur des modèles d'apprentissage automatique.
- Travailler sur l'ensemble du cycle de vie de l'apprentissage automatique, de la collecte de données au déploiement.
- Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow
- Bachelor’s or advanced degree in Computer Science, Data Science, or a related field
- Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation
- 3 years of experience in machine learning, data science, or a related area
- Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI
- Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)
- Experience with cloud platforms (GCP, AWS, or Azure)
- Clear communicator, able to translate technical work for diverse audiences
- Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams
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