Arrive Logistics · 7 hours ago
Senior Machine Learning Engineer
Austin, Texas Metropolitan Area
Full-time
Onsite
Senior Level
5+ years expArrive Logistics is a leading transportation and technology company in North America, and they are seeking a Senior Machine Learning Engineer to serve as a key technical leader responsible for defining and executing their ML platform strategy. The role involves designing and maintaining scalable ML systems, mentoring engineers, and collaborating with cross-functional teams to deliver 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
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
Qualification
Required
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
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
Benefits
Medical, dental, vision, life, disability, and supplemental coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities
Team events
Happy hours
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
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