Staff Engineer, Tech Lead – ML Acceleration

🕒 il y a 3 jours

🇺🇸 États-Unis – Télétravail

💵 $172 000 - $229 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

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Motional

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2020

💼 Conseil

📦 Logistique

🏭 Fabrication

Consulting • Logistics • Manufacturing

Motional est une entreprise leader dans le développement de véhicules autonomes, dédiée à faire du transport sans conducteur une réalité sûre, fiable et accessible. Joint-venture entre Hyundai Motor Group et Aptiv, Motional est à la pointe de la technologie sans conducteur depuis des décennies, créant des véhicules autonomes de niveau 4 de la SAE pour les services de covoiturage et de livraison. L'entreprise met l'accent sur la sécurité et l'innovation, en s'appuyant sur le machine learning avancé et la technologie automobile pour construire des véhicules entièrement autonomes qui s'intègrent parfaitement dans les réseaux de mobilité, offrant une expérience agréable pour les transports quotidiens et les livraisons.

Description

• Build, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration • Provide technical guidance, mentorship, and career development opportunities • Foster a collaborative and inclusive team environment • Define team goals, priorities, and roadmap aligned with company objectives • Define the technical vision and strategy for ML acceleration across the organization • Identify and evaluate technologies and methodologies for accelerating ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization • Design, develop, and implement scalable and efficient ML acceleration solutions • Collaborate with ML research, ML Training Platform, and product teams to understand needs and integrate solutions • Communicate complex technical concepts and strategies to technical and non-technical stakeholders • Act as a technical expert and advocate for ML acceleration initiatives • Measure and report the impact of acceleration efforts • Seek opportunities for further optimization and innovation

🎯 Exigences

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience • 8+ years of experience in software engineering • At least 5+ years focused on Machine Learning systems and model performance optimization • 3+ years of experience in a technical lead or management role • Proven track record of building and leading high-performing teams • Extensive experience with large-scale ML model training and deployment, ideally in a production environment • Strong understanding of distributed systems and cloud computing platforms such as AWS, GCP, or Azure • Deep expertise in ML frameworks such as PyTorch or JAX • Proficiency in performance profiling and optimization techniques for Deep Neural Networks • Strong programming skills in Python; C++ experience is a plus • Knowledge of MLOps principles and practices • Exceptional leadership, communication, and interpersonal skills • Ability to attract, hire, and retain top engineering talent • Proven ability to drive complex technical projects from conception to completion • Strong problem-solving skills and a proactive, results-oriented mindset • Ability to thrive in a fast-paced, dynamic environment

🏖️ Avantages

• Medical insurance • Dental insurance • Vision insurance • 401(k) with a company match • Health savings accounts • Life insurance • Pet insurance • Additional benefits may be available • Bonus or company equity may be included as additional compensation • Inclusive and diverse work environment