Ingeniero Aws

Friday Systems; Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading tech company in Madrid is seeking an experienced AI/DRL Engineer to own the end-to-end DRL stack. You will be responsible for implementing algorithms, managing multi-GPU training, and mentoring a small team. This role requires extensive expertise in Deep Learning and Reinforcement Learning, particularly with PyTorch. Strong coding skills, along with experience in cloud deployments, are essential. Competitive compensation and a dynamic work environment are offered.

Formación

• Extensive Deep Learning and Reinforcement Learning expertise.
• Can implement several DRL algorithms from scratch.
• Ability to reason about performance drops and make informed decisions.

Responsabilidades

• Implement DRL algorithms and evaluate performance.
• Launch multi-GPU training, manage resources efficiently.
• Productionize clean PyTorch code and manage deployments.

Conocimientos

Deep Learning

Reinforcement Learning

Python

Linux

Docker

Multi-GPU

Cloud (AWS)

Descripción del empleo

Overview

Friday Systems builds AI that allows industrial robots to adapt to dynamic warehouse environments. Own the DRL stack end-to-end: formulation → algorithm design → large-scale training → evaluation → deployment. Design & ship DRL algorithms (PPO / SAC / DDQN and variants, based on encoders / cross-attention / pointer networks) for complex control & combinatorial optimization.

Responsibilities

• GAE, normalization, entropy / KL control, distributional / value-loss tuning, curriculum learning and reward shaping.
• Launch multi-GPU training, parallel rollouts, efficient replay / storage, and reproducible experiment tooling.
• Productionize: clean PyTorch code, profiling, Dockerized services (FastAPI), AWS deployments, experiment tracking, dashboards.
• Provide mentorship and leadership to foster a culture of quality and innovation.
• Serve as primary owner for experiments, code quality, and results in a small team.
• Lead a deep technical session with the CTO on your past RL work.

Qualifications & Skills

Extensive Deep Learning, Reinforcement Learning & PyTorch expertise – you can implement several DRL algorithms from scratch, reason about root‑cause performance drops, and make informed decisions about next steps.

• Python, Linux, Docker, Multi‑GPU, Cloud (AWS).

Not considering entry‑level or coursework‑only profiles for this role.