Senior Staff Software Engineer – ML Platform

🕒 January 23

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Stack AV

WebsiteLinkedInAll Job Openings

51 - 200 employees

🚗 Transport

🤖 Artificial Intelligence

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.

📋 Description

• Build state-of-art multimodal data mining and semantic search solutions to power AV product development. • Develop data understanding platform infrastructure for real-time querying/vector databases and batch/stream processing using technologies like Ray, Spark, Lance, or similar. • Deliver end-to-end data mining solutions that span onboard (C++) and offboard (ML & Data Infra) infrastructure to accelerate AV product development. • Develop e2e solution for real-time semantic search services (text/images/videos) and vector DBs. • Discover and identify key issues in existing ML infra and proactively improve system performance. • Build low latency/high throughput batch or stream processing pipelines. • Drive technical discussions across multiple orgs and deliver solutions on a timely basis. • Architect and tune ETL pipelines to maximize GPU/CPU/Ram utilization. • Write readable and high-performance Python/C++ code.

🎯 Requirements

• 6+ years of experience with multimodal data indexing and inference pipelines • Building semantic search service, embedding generation for video/images and vector DB • Large scale ML pipelines (Airflow/Flyte) and model optimization. • 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 • Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others • Experience building or using ML infrastructure for a large number of customer teams • 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

🏖️ Benefits

• Equal opportunity workplace • Culture of inclusion, entrepreneurship, and innovation