Staff Engineer, Tech Lead – ML Acceleration

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $172k - $229k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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