Senior Machine Learning Engineer Job at Arrive Logistics (Austin)

Senior Machine Learning Engineer

Arrive Logistics

Location:
United States , Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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
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
Develop a thorough understanding of a domain and 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

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
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 have:

Experience with Chalk and Snowflake is a plus
Bonus points if well versed in Huggingface, Tensorflow, Pytorch, Langchain and Langsmith

What we offer:

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
Casual dress code
Convenient location close to the airport and downtown
Free on site parking
Fully stocked coffee bar, Broker’s Brew
Onsite gym
Free counseling sessions through Employee Assistance Program
Company paid holidays, paid vacation time and wellness days
100% paid parental leave
Referral Program
Relocation assistance

Additional Information:

Job Posted:
February 01, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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