Lead Machine Learning Engineer, Infrastructure id-9385

May 24, 2025

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The Machine Learning Infrastructure & Data team is responsible for architecting and building the foundational systems and tools that enable efficient development, deployment, and management of machine learning models at scale.

As a Lead Machine Learning Engineer in the Machine Learning Infrastructure & Data team, you will play a pivotal role in designing, developing, and maintaining robust and scalable infrastructure components to support the companys machine learning initiatives. You will collaborate closely with cross-functional teams including machine learning researchers, data scientists, and software engineers to build state-of-the-art platforms and tools that accelerate the development and deployment of machine learning models.

Key Responsibilities:

• Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.

• Develop and maintain frameworks, libraries, and tools to streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.

• Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.

• Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.

• Stay current with the latest advancements in machine learning infrastructure, distributed computing, and cloud technologies, and integrate them into our platform to drive innovation.

• Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

What it takes to catch our eye:

• Passion for ML Infrastructure: We value enthusiasm for advancing ML infrastructure.

• Proven Impact: Show us your track record of delivering impactful solutions.

• Innovative Thinker: Bring creativity and fresh ideas to the table.

• Technical Proficiency: Solid foundation in software engineering and ML concepts.

• Collaborative Mindset: Strong communication and teamwork skills are a must.

• Continuous Learner: Stay updated with the latest advancements in the field.

• Problem-Solving Skills: Ability to tackle complex problems effectively.

• Adaptability: Thrive in a fast-paced, dynamic environment.

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