Remote ML Engineering Manager - Lead & Scale Systems

BairesDev; United States; Remote; CLP 136,986,000 - 185,910,000; Full time

Benefits offered by this job

100% remote

USD salary

Parental leave

Vacation & holidays

Mentorship & growth opportunities

Diverse, multicultural team

Job summary

BairesDev is seeking an Engineering Manager who will guide a team of ML engineers, design scalable software, and set engineering standards. You will stay hands-on when needed and mentor others to deliver high-impact ML-powered products.

Join a 100% remote, globally distributed team with competitive USD compensation, parental leave, generous vacation, and ongoing mentorship and growth opportunities.

Qualifications

• 7+ years in software development.
• 2+ years in technical leadership or engineering management.
• Strong programming skills in modern languages such as TypeScript, Python, Go, or Java.
• Deep understanding of system design, APIs, cloud infrastructure (AWS/GCP), and software architecture.
• Hands-on experience with data-driven applications or working closely with ML teams.
• Advanced proficiency in English.
• Background building and scaling ML-powered features or platforms OR Strong CS fundamentals: algorithms, data structures, complexity, distributed systems, and databases.

Responsibilities

• Lead and mentor ML engineers in a fast-paced, collaborative environment, hiring, coaching, and developing top-tier engineering talent.
• Collaborate with cross-functional teams (Product, Data, ML, Design) to define and deliver ambitious product roadmaps.
• Write, review, and ship high-quality, production-grade code when needed.
• Drive architectural decisions and ensure long-term scalability, performance, and reliability of systems.
• Oversee the technical execution of ML features, collaborating closely with data scientists and ML engineers.

Skills

Leadership

Software development

TypeScript

Python

Go

Java

Cloud AWS/GCP

English

Tools

AWS

GCP

Job description

BairesDev is seeking an Engineering Manager who will guide a team of ML engineers, design scalable software, and set engineering standards. You will stay hands-on when needed and mentor others to deliver high-impact ML-powered products.

Join a 100% remote, globally distributed team with competitive USD compensation, parental leave, generous vacation, and ongoing mentorship and growth opportunities.