21 час назад
Principal ATA Engineer (AI)
170 000 - 212 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal ATA Engineer (AI/recommendations): Defining and building scalable recommendation systems for an automotive marketplace with an accent on personalization, ranking, machine learning productionization, and reliable consumer experiences. Focus on setting architecture across teams, driving experimentation and AI-powered recommendations, and solving high-volume distributed-systems and operational-excellence challenges.
Location: Flexible hybrid model; in-person interviews may be required for positions based in the Boston and Dublin offices.
Annual base salary: $170,000–$212,000 USD, plus potential bonuses, incentives, and RSUs.
Company
operates a large automotive marketplace that helps consumers search for vehicles, compare options, and navigate financing, purchase, and delivery.
What you will do
- Set the technical direction and architecture for the recommendation platform across multiple engineering teams.
- Build scalable recommendation systems using shopper, vehicle, inventory, and behavioral signals.
- Partner with Data Science to productionize models and improve recommendation quality.
- Drive personalization, ranking, experimentation, and AI-powered recommendation experiences across the shopper journey.
- Lead complex cross-functional initiatives from technical design through delivery and measurement.
- Improve reliability, scalability, observability, and operational excellence while mentoring engineers and influencing technical decisions.
Requirements
- 10+ years of software engineering experience building and operating large-scale, customer-facing systems.
- Bachelor’s degree in Computer Science, Engineering, or a similar field.
- Deep expertise in software architecture, distributed systems, APIs, production engineering, and cloud-native architectures.
- Strong experience with Kotlin, Java, C#, Python, or similar languages; Kotlin is preferred.
- Strong SQL and relational database experience, including performance considerations.
- Experience with Data Science or ML teams, recommendation or personalization systems, feature pipelines, experimentation, streaming data, and high-volume services.
Culture & Benefits
- People-first culture focused on kindness, collaboration, innovation, and inclusion.
- Flexible hybrid work model and robust time-off policies.
- Equity for all employees, career development programs, employee resource groups, and corporate giving opportunities.
- Daily free lunch, new car discount, meditation and fitness apps, and commuting cost coverage.
- Travel expenses for any required in-person interview are the candidate’s responsibility.
Hiring process
- In-person interviews may be required, particularly for positions based in Boston and Dublin; selected candidates will be notified in advance.
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