обновлено 48 минут назад
Senior ML Systems Engineer (AI)
170 600 - 261 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Systems Engineer (AI): Building and operating hybrid human/machine data labeling tools and pipelines for autonomous vehicle machine learning models with an accent on full-stack architecture and scalable data-annotation solutions. Focus on designing high-performance user experiences, automating ML workflows, and integrating AI-driven annotation to accelerate model training at foundation-model scale.
Location: Remote (US). If you live within a 50-mile radius of Sunnyvale, CA, you are expected to report to the office three times a week.
Salary: $170,600–$261,300
Company
is a global automotive leader committed to a future of zero crashes, zero emissions, and zero congestion.
What you will do
- Design and implement scalable, high-performance user experiences and services for data labeling.
- Develop automation and tooling to provide ML engineers with deep insights into labeling workflows and data quality.
- Collaborate with ML engineers to integrate ML-driven data annotation, including pre-labeling and active learning loops.
- Champion AI-assisted engineering workflows to increase development velocity.
- Own technical projects end-to-end, from problem framing to rollout.
- Partner with cross-functional teams to translate requirements into concrete APIs and UIs.
Requirements
- 6+ years of experience building robust distributed platforms and applications.
- Hands-on experience leveraging AI tools for development and debugging.
- Proficiency in Python, TypeScript, Go, React, SQL, and GraphQL.
- Strong understanding of relational databases, data modeling, and API design.
- Solid fundamentals in object-oriented design, data structures, and algorithms.
- Experience developing and operating cloud-based applications.
Nice to have
- Experience with web APIs like Service Workers, Cache Storage, and IndexedDB.
- Background in computer vision, machine learning, or data-centric AI projects.
- Familiarity with data labeling platforms and workflow engines.
- Experience with A/B testing and observability systems.
Culture & Benefits
- Comprehensive health and wellbeing programs including medical, dental, and vision.
- Retirement savings plan and tuition assistance programs.
- Paid vacation and holidays.
- Employee assistance program and GM vehicle discounts.
- Inclusive workplace culture focused on belonging and professional development.
Hiring process
- Role-related assessments and/or pre-employment screenings may be required.
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