Deep Learning Engineer

Join Hayden as a Deep Learning Engineer, where you will play a crucial role in building foundational AI capabilities. You will be responsible for developing, training, evaluating, and deploying state-of-the-art machine learning models in production at scale. This position is based in San Francisco and follows a hybrid schedule.

• Contribuer à la construction de capacités d'IA fondamentales pour Hayden, en résolvant des problèmes complexes pour les clients.
• Développer, former, évaluer et déployer des modèles d'apprentissage automatique à la pointe de la technologie en production à grande échelle.
• Collaborer avec des équipes interfonctionnelles pour contribuer à la livraison de solutions de bout en bout pour le client.
• The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission
• Core Skills: Solid hands-on experience designing, training, and evaluating machine learning models for perception. Demonstrated ability to independently build ML pipelines and deploy models to cloud environments (AWS, GCP, or Azure); familiarity with MLOps practices including experiment tracking, model versioning, and automated workflows. Hands-on experience in PyTorch, Python, and related skills
• Experience: 1-2 years experience building and deploying machine learning models for perception in production settings
• Personal Attributes:Good communicator, self starter and ability to collaborate with others, quick learner who can adapt to a fast paced startup culture
• Education: Bachelors or Masters in Computer Science or related field
• Nice to Have: Experience working in perception problems in self driving car companies that aligns closely with the work of this team