4 дня назад
Full-Stack Software Engineer, Machine Learning Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full-Stack Software Engineer, Machine Learning Platform (AI): Building data introspection and visualization services for autonomous vehicle machine learning, with an accent on large-scale multimodal data, scalable full-stack architecture, and safety-focused product development. Focus on integrating AI techniques into front-end applications, designing data storage and serving systems, and delivering reliable tools for autonomy engineering teams.
Location: Pittsburgh, PA or Remote. Employment may be subject to verification of U.S. residence, U.S. person status, or citizenship status due to national security and export control requirements.
Company
develops AI-powered autonomous systems for the trucking transportation industry, combining robotics, machine learning, and cloud technologies.
What you will do
- Define the vision and implementation roadmap for autonomous vehicle data introspection software with Product, Design, and Engineering stakeholders.
- Build and deliver tools for searching, visualizing, inspecting, and analyzing data used in autonomy development.
- Identify gaps in existing tools across customer personas and develop solutions that accelerate product development while maintaining a strong focus on safety.
- Lead technical discussions and deliver scalable, reliable full-stack solutions on schedule.
- Communicate and promote technical solutions across the organization.
Requirements
- 3+ years of experience driving full-stack development with large-scale multimodal data, including video, audio, sensor data, and text.
- Experience building full-stack solutions with React, TypeScript, Go, and Python for multiple customer teams.
- Understanding of data storage architectures and serving trade-offs, including SQL and NoSQL solutions.
- Track record of building scalable and reliable solutions in a fast-paced environment.
- Ability to analyze technical trade-offs, communicate them clearly, and align stakeholders.
- Experience integrating novel AI techniques into front-end applications.
Culture & Benefits
- Work across data engineering, machine learning, infrastructure, data visualization, Product, Design, and Engineering.
- Contribute to safety-focused autonomous technology for demanding real-world environments.
- Inclusive workplace committed to entrepreneurship, innovation, and diverse teams.
- Work may involve software subject to U.S. export control regulations and national security requirements.
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