Senior Machine Learning Operations Engineer

Who We Are Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we’re 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. Who We Want 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. These initiatives may vary from serving models scalably to building ML-powered services focused on maximizing profit. What You'll Do
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. Qualities That Enable Success in This Role:
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 find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner.
You are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering, data science, data engineering or product management partners.
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. Qualifications
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. The Perks of Working With Us
Take advantage of excellent benefits, including medical, dental, vision, life, and disability coverage.
Invest in your future with our matching 401(k) program.
Build relationships and take part in learning opportunities 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 heart of downtown Chicago, IL!
There are CTA and L train stops walking distance from the office and you can store your bike safely inside of the building.
Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.
Maximize your wellness with free counseling sessions through our Employee Assistance Program
Get paid to work with your friends through our Referral 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 relocation assistance! If you are not local to the area, we offer relocation packages. $171,000 - $213,000 a year The base salary range for this position is $171,000 - $213,000, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training. 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. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.