Arrive Logistics · 10 hours ago
Machine Learning Engineer
Austin, TX
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 and product capabilities. The role involves designing scalable ML systems, collaborating with various teams, and ensuring high-quality delivery of strategic initiatives.
Freight ServiceLogisticsShipping BrokerSupply Chain ManagementTransportation
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
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
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 approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment
You believe that while remote work is functional, in-person collaboration is where the 'magic' happens
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
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
Casual dress code
Free parking on site
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
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