Senior Machine Learning Operations Engineer

Arrive Logistics•Chicago, IL

4d•Hybrid

About The Position

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. 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.

Requirements

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.
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.

Nice To Haves

Experience with Chalk and Snowflake is a plus.
Expertise in frameworks like Sklearn, Pandas, Numpy. Bonus points if well versed in Huggingface, Tensorflow, Pytorch, Langchain and Langsmith.

Responsibilities

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

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.