3 publicaciones de empleo destacadas de / ml engineer en cuauhtémoc cdmx (¡Están contratando!)

AI-Native Engineer, New Grad (Ingeniero/a de Software AI-Native — Inicio de Carrera) - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Java
- SQL
13d
Kubernetes DevOps Specialist
Arcadion —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Postulación rápida
Senior Analytics Engineer
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
1h

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AI-Native Engineer, New Grad (Ingeniero/a de Software AI-Native — Inicio de Carrera) - Mexico City (Hybrid)

Clara -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 13 días

Beneficios

Opciones sobre acciones

Cualificaciones

Ingeniería de software
React
Inglés
Java
SQL
JavaScript
PostgreSQL
Redis
Portugués
Kafka
Python

Descripción completa del empleo

Ready to accelerate your career?

Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

Ready to start your career at full speed?

What you’ll actually do

Ship production code in your first weeks — real features, real customers, real money moving.
Own features end to end: design, build, test, deploy, watch the metrics, fix what you broke.
Use AI across your workflow — coding, debugging, testing, research, automating the boring parts — and push the frontier of how your team uses it, not just how you do.
Work directly with Product, Design, and senior engineers. Ask the dumb question early; it’s cheaper than the wrong build.
Learn the domain deeply. B2B fintech in LatAm is genuinely hard — multiple countries, multiple regulators, real consequences. That’s what makes it interesting.

Two tracks — tell us which one fits you
Product Engineering (fullstack, backend-leaning) Backend services, APIs, and the interfaces on top of them. Our stack leans Java/Spring Boot, React, PostgreSQL, Redis, Kafka, and AWS — but we don’t expect you to have used all of it. We expect you to have gone deep on something and to pick up the rest fast.
Data & ML Engineering Pipelines, models, and the systems that make them useful in production — risk scoring, fraud signals, spend intelligence. Python, SQL, and modern data tooling. Applied and in production, not just notebooks.
Who you are

You’re at the start of your software career. Whether you finished your degree last month or took a different route to get here, this role is scoped for engineers without prior full-time software experience — and we’ll treat you accordingly.
A technical foundation. CS, Software Engineering, Mathematics, Physics or similar — or equivalent ability you can demonstrate in code.
You’ve built things, and you can point at them. A GitHub, a deployed app, a repo people actually use, a hackathon win, a contribution to open source, a bot that solved a real problem for real users. One thing you built and can defend in depth beats a list of ten you touched.
You’re AI-native and you can prove it. Not “I’ve used ChatGPT.” We mean: you’ve built with AI — agents, RAG, evals, fine-tunes, a tool that automates something you were sick of doing — and you use AI tools every day in how you code. Come ready to show us the artifact and walk us through the decisions.
Strong fundamentals. Data structures, algorithms, systems thinking. Competitive programming (ICPC, OMI, Codeforces), a strong thesis, or serious research all count and we want to hear about them.
English proficiency. English is our corporate language — you’ll read, write, and discuss technical work in it daily.
Ownership. You surface problems before they become blockers, you push things over the finish line, and you don’t wait to be told what to do. This is the single trait we screen hardest for.

Nice to haves

Basic proficiency in Portuguese or a desire to learn it.

Why join Clara

At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who we are

We’re the leading B2B fintech for spend management in Latin America.
Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
Passionate about making Latin America more prosperous and competitive.
Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
Product-led, high-talent-density culture — designed for builders who raise the bar.
Proud of our open, inclusive, and values-driven environment.

What we believe in

#Clarity. We say things clearly, directly, and proactively.
#Simplicity. We reduce noise to focus on what really matters.
#Ownership. We take responsibility and never wait to be told.
#Pride. We build products and experiences we’re proud of.
#Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
#Inclusivity. Every voice counts. Everyone contributes to our mission.

What we offer

Competitive salary and stock options (ESOP) from day one
Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
Annual learning budget and internal accelerated development paths
High-ownership environment: we move fast, learn fast, and raise the bar — together
Smart, ambitious teammates — low ego, high impact
Flexible vacation and hybrid work model focused on results

If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

Clara’s Hybrid Policy

Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.

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/ ml engineer empleos en cuauhtémoc cdmx

AI-Native Engineer, New Grad (Ingeniero/a de Software AI-Native — Inicio de Carrera) - Mexico City (Hybrid)

Kubernetes DevOps Specialist

Senior Analytics Engineer

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