Senior Staff Software Engineer – ML Platform

🕒 il y a 4 mois

🔔 Pennsylvania – Distant

🔔 Pennsylvania – Remote

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

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Stack AV

Site WebLinkedInTous les Emplois

51 - 200 employés

🚗 Transport

🤖 Intelligence artificielle

Transport • Artificial Intelligence

Stack AV est une entreprise qui révolutionne l'industrie du transport grâce à ses solutions de camions autonomes, impulsées par une intelligence artificielle avancée. L'entreprise se concentre sur le développement de systèmes autonomes alimentés par l'IA pour améliorer la sécurité, la fiabilité et l'efficacité des opérations de camionnage. Stack AV s'engage à relever les défis de l'industrie du camionnage en concevant des solutions intelligentes visant à optimiser l'intelligence de la chaîne d'approvisionnement, les résultats commerciaux et la rapidité de livraison. La sécurité est un principe fondamental, et l'entreprise tire parti des technologies d'IA de pointe, d'apprentissage automatique et cloud pour innover dans l'industrie.

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.

🎯 Exigences

• 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

🏖️ Avantages

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