2 дня назад
Principal Software Engineer, ATA (AI)
170 000 - 212 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Software Engineer, ATA (AI): Building scalable recommendation systems and AI-powered consumer experiences that help shoppers find the right cars, with an accent on personalization, ranking, experimentation, and production machine learning. Focus on defining cross-team architecture, improving reliability and observability, and leading complex initiatives across engineering, product, and data science.
Location: Flexible hybrid model; in-person interviews may be required for positions based in Boston and Dublin.
Annual base salary: $170,000–$212,000 USD, plus benefits and potential bonuses, incentives, and RSUs.
Company
operates a large automotive marketplace that helps consumers and dealerships manage the online car-shopping journey.
What you will do
- Set 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 machine learning models and improve recommendation quality.
- Drive personalization, ranking, experimentation, and AI-powered recommendation experiences.
- 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 experience building and operating large-scale, customer-facing software 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, SQL, and relational database performance; Kotlin is preferred.
- Experience partnering with Data Science or ML teams, including recommendation systems, feature pipelines, experimentation, model evaluation, or recommendation metrics.
- Experience with event-driven systems, streaming data, high-volume services, technical leadership, coding, design reviews, and mentoring.
Nice to have
- Experience building consumer products that help users compare options, make decisions, or navigate complex purchase journeys.
- Curiosity about AI and experience using AI to improve products or engineering productivity.
Culture & Benefits
- Flexible hybrid work model and robust time-off policies.
- Equity for all employees, comprehensive benefits, and potential discretionary bonuses or incentives.
- Career development programs, employee resource groups, and corporate giving opportunities.
- Daily free lunch, new-car discount, meditation and fitness apps, and commuting cost coverage.
- Inclusive, collaborative culture focused on curiosity, kindness, innovation, and professional growth.
Hiring process
- In-person interviews may be required for positions based in Boston and Dublin.
- Selected candidates will be notified in advance; travel expenses are the candidate’s responsibility.
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