Machine Learning Platform Engineer at Arrivelogistics

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!   Who We Want As a Machine Learning Platform Engineer at Arrive Logistics, you will play a key role in maintaining and expanding Arrive's ML platform and product capabilities. This role requires driving and contributing to crucial roadmap projects while ensuring quality, maintainability and functionality. These initiatives may vary from serving models scalably to building ML-powered products focused on maximizing profit. What You'll Do • Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch. • 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 • 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. • 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 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. Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience. • 3+ years of experience with ML ops (features stores, model registries and auto ML), model serving and optimization. • 3+ years of experience with Python and building highly scalable backend services • Experience with frameworks like Sklearn, Pandas and Numpy. Plus if Huggingface, Tensorflow, Pytorch experience. • 2+ years of experience with relational databases • 2+ years of experience designing maintainable and scalable systems • System design experience with a focus on loosely coupled, distributed systems, microservices 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 deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player. • You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services. • You believe that while remote work is functional, in-person collaboration is where the "magic" happens. You are excited to help shape the energy of our physical workspace. • You take initiative to go beyond current responsibilities and actively seek new challenges. • You are passionate about building high impact ML and data driven products. The Perks of Working With Us • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage. • Invest in your future with our matching 401(k) program. • Build relationships and find your home at Arrive through our Employee Resource Groups. • Enjoy office wide engagement activities, team events, happy hours and more! • Leave the suit and tie at home; our dress code is casual. • Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown. • Park your car for free on site! • Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew. • Sweat it out with the team at our onsite gym. • Maximize your wellness with free counseling sessions through our Employee Assistance Program • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days. • Receive 100% paid parental leave when you become a new parent. • Get paid to work with your friends through our Referral Program! • Get relocation assistance! If you are not local to the area, we offer relocation packages. Your Arrive Experience   When we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.    Notice: To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. 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