Senior Machine Learning Operations Engineer

Who We Are

Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award‑winning culture that supports personal and career development in a fun, casual, and collaborative environment.

There has never been a more exciting time to get on board, so read on to learn more and apply today!

As a Senior Machine Learning Operations 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. These initiatives may vary from serving models scalably to building ML‑powered services focused on maximizing profit.

• 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.

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience.
• 5+ years of experience with ML ops, model serving and optimization. Experience with Chalk and Snowflake is a plus.
• 5+ years of experience with Python, object oriented programming and building highly scalable backend services.
• Expertise in frameworks like Sklearn, Pandas, Numpy. Bonus points if well versed in Huggingface, Tensorflow, Pytorch, Langchain and Langsmith.
• 3+ years of experience with relational databases
• 2+ years in a lead or senior‑level capacity
• 2+ years of experience designing maintainable and scalable systems
• Proven expertise in system design with a focus on distributed systems and event‑driven architectures
• Experience developing cloud‑native dockerized applications in Kubernetes
• Experience working with online experimentation and platforms like Statsig
• Understanding of both traditional machine learning and deep neural networks
• Strong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts.
• Strong analytical, problem‑solving, decision‑making, and interpersonal skills.
• Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery.
• You are a self‑starter who can…