As a Senior Machine Learning Engineer at Arrive, you will serve as a key technical leader, responsible for defining, advancing and executing our overall ML platform strategy. This role also requires driving, contributing to, and maintaining the quality and functionality of crucial roadmap projects.
Requirements
- Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch.
- Lead sprints, conduct rigorous code reviews, and set the "gold standard" for ML engineering practices across the organization.
- Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth.
- Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
- Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring.
- Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability.
- Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers.
- Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain.
- Proactively propose solutions to gaps or risks in process, technology, software design and architecture
- Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
- Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.
- In partnership with other leaders, establish best practices across the organization and drive the organization's standards within the team, leading by example.
Benefits
- Comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.
- Matching 401(k) program.
- Employee Resource Groups.
- Office wide engagement activities, team events, happy hours and more!
- Free parking on site!
- Fully stocked coffee bar.
- Onsite gym.
- Employee Assistance Program.
- 100% paid parental leave.
- Referral Program!
- Relocation assistance.
