Senior Machine Learning Operations Engineer, Arrive Logistics
$171-213k
+ Bonus
More information about location
2 days a week in office
Carrier and customer-centric logistics company
Be an early applicant
Carrier and customer-centric logistics company
1001+ employees
Be an early applicant
$171-213k
+ Bonus
More information about location
2 days a week in office
1001+ employees
Company mission
To define a new standard for service in freight and push the limits of what’s possible for itself and its partners every day.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Arrive Logistics, a rapidly growing multimodal transportation and technology company based in Austin, Texas, has emerged as a key player in the U.S. freight brokerage industry. From its impressive $30 million in truckload sales during its first year to a staggering $2.4 billion in 2022, Arrive Logistics is clearly on a trajectory for substantial growth.
The recent establishment of a new office in Guadalajara, Mexico, underscores Arrive's commitment to expanding its footprint and enhancing its cross-border logistics capabilities. This strategic move aligns with increasing trade activities between the U.S. and Mexico, catering to the growing demand for localised logistics solutions. The Guadalajara office will facilitate seamless connections across Arrive's North American operations, leveraging local expertise and resources to drive operational excellence.
As consumer expectations for faster shipping evolve and e-commerce continues to flourish, Arrive Logistics' proactive response to these market dynamics positions it uniquely for continued success in the dynamic freight industry landscape. Bolstered by significant investments across multiple funding rounds, the company continues to intensify its focus on team expansion and service diversification.
Freddie
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2021
$300m
GROWTH EQUITY VC
Jun 2019
$25m
SERIES B
Total funding: $335m
Company benefits
- Employee referral bonus program
- Relocation assistance no matter where you’re moving from
- Weekly lunches on Arrive
- Competitive compensation packages
- Excellent benefits
- Matching 401(k) plan
- Two floating holidays in your first year
- Professional development tools
- Leadership development programs
Company HQ
Southeast Austin, Austin, TX
Leadership
Matt Pyatt
(CEO)Has a BSc in Marketing and Entrepreneurship and previously worked as an account executive at Command Transportation.
Eric Dunigan
(Co-Founder & President)Graduated from Miami University before co-founding Arrive Logistics.
Salary benchmarks
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