Staff Software Engineer - ML Platform

Job not on LinkedIn

June 18

🔔 Pennsylvania – Remote

Although this job is listed in Pennsylvania, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Stack AV

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Transport • Artificial Intelligence

Stack AV is a company that is revolutionizing the transportation industry through its autonomous trucking solutions, driven by advanced artificial intelligence. The company focuses on developing AI-powered autonomous systems to enhance safety, reliability, and efficiency in trucking operations. Stack AV is committed to addressing the challenges of the trucking industry by designing smart solutions to improve supply chain intelligence, business outcomes, and delivery speed. Safety is a core principle, and the company leverages cutting-edge AI, machine learning, and cloud technologies to innovate within the industry.

51 - 200 employees

🚗 Transport

🤖 Artificial Intelligence

📋 Description

• Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. • Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies. • In the ML Data team, our mission is to provide trusted and useful data to efficiently power all of Stack's ML applications. • We work hand in hand with AV autonomy teams to provide cutting-edge solutions to all their data needs. • We provide services to find (data mining), curate (datasets), annotate (data labeling), and serve (high throughput data access) data for all ML needs. • Training: Building state of the art infrastructure to support machine learning training and inference workloads using OSS components such as Ray, Spark, and Iceberg. • Data Mining: Building a framework and infrastructure to find interesting events quickly and flexibly. • Labeling: Setting the direction and build towards auto-labeling, driving labeling needs of the entire company.

🎯 Requirements

• Experience with both ML platforms and building ML-based applications (modeling experience is a bonus). • Proven track record of building scalable, reliable infrastructure in a fast-paced environment. • Ability to collaborate effectively across teams. • Experience building or using ML infrastructure for a large number of customer teams. • Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others. • Experience in building ML models or infrastructure in domains such as autonomous vehicles, perception, and decision-making (desirable but not required). • Experience with model training, model optimization, or large data processing pipelines. • Prior experience in autonomous vehicles (AV) is a plus.