Arrive Logistics · 1 day ago
Machine Learning Engineer
Austin, Texas Metropolitan Area
Full-time
Hybrid
Mid Level
3+ years expArrive Logistics is a leading transportation and technology company in North America, and they are seeking a Machine Learning Engineer to maintain and expand their ML platform. The role involves designing and building scalable ML systems, collaborating with various teams, and ensuring the successful delivery of strategic initiatives.
Freight ServiceLogisticsShipping BrokerSupply Chain ManagementTransportation
Hiring Manager
Molly Singleton
Responsibilities
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
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 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
Qualification
Required
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
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
Dress code is casual
Free on site parking
Specialty drink from our fully stocked coffee bar, Broker’s Brew
Onsite gym
Free counseling sessions through our Employee Assistance Program
Company paid holidays, paid vacation time and wellness days
100% paid parental leave when you become a new parent
Referral Program
Relocation packages
Company
Arrive Logistics
Arrive Logistics is a carrier and customer-centric logistics company that focuses on new standards for service in freight.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$335MKey Investors
ATL PartnersLead Edge Capital
2021-04-28Private Equity· $300M
2019-06-18Series B· $25M
2018-06-26Series A· $10M
Leadership Team
Matt Pyatt
CEO
Eric Dunigan
Co-Founder / President
Recent News
Seattle TechFlash
2025-06-16
2025-04-17
2025-04-07
Company data provided by crunchbase