What You'll Do
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.
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.
Qualifications
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.
The Perks of Working With Us
Take advantage of our benefits including monthly grocery vouchers, vacation days, savings fund, medical insurance (including dental and vision plans) and more.
Leave the suit and tie at home; our dress code is casual.
Enjoy office wide engagement activities, team events, happy hours and more!
Work in our new Guadalajara office located in Torre 1500 (Av. Americas 1254) within the plaza, you'll find cafes and a wide variety of local restaurants.
Start your morning with free coffee!
Maximize your wellness with free counseling sessions through our Employee Assistance Program
Get paid to work with your friends through our Referral Program!
Your Arrive Experience
Our award-winning company culture is designed with you in mind. We are committed to supporting your personal and professional growth and making Arrive a place we all love to work.
Notice:
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact [email protected] for verification.
