Staff Software Engineer, ML Training Infrastructure

🔥 13 hours ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stack AV

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

🏭 Manufacturing

💼 Consulting

Logistics • Manufacturing • Consulting

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.

📋 Description

• Design and evolve high-performance training platform components, including orchestration, training abstractions, control plane, observability, and performance tuning • Deliver end-to-end ML model pipelines across logs processing, feature extraction, dataset schema design and storage, model configuration management, model training, and profiling/acceleration workflows • Analyze training infrastructure performance to identify and resolve performance bottlenecks • Evangelize system abstractions and tooling that enable MLEs to rapidly iterate on models • Incorporate open-source tools to enable ML engineers to independently profile and optimize their workflows • Maintain a high bar for engineering excellence and promote a culture of engineering excellence within the team • Drive the design and development of a high-performance multi-tenant AI training platform • Collaborate across ML Platform, Infrastructure, Autonomy, and Safety Evaluation teams

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 6+ years of experience with ML Platforms and building ML-based applications • Strong programming skills in Python, C++ or equivalent • Prior experience with Lance, PyTorch, Ray Data or equivalent technologies • Proven track record of building scalable, reliable infrastructure in a fast-paced environment while working with MLEs across multiple modeling teams • Deep understanding of design tradeoffs and ability to articulate those tradeoffs to build alignment across XFN teams • Experience with model training, model optimization, or large-scale data processing pipelines • Strong analytical and problem-solving skills • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders • Position may require verification of residence, U.S. person status, and/or citizenship status due to U.S. national security and export control requirements

🏖️ Benefits

• Equal opportunity workplace committed to inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity