AWS Engineer

Friday Systems; Madrid; Presencial; EUR 40.000 - 75.000; Jornada completa

Descripción de la vacante

A leading AI robotics company in Madrid is seeking an experienced Deep Reinforcement Learning Engineer. You will own the DRL stack end-to-end, design and ship algorithms for complex problem-solving, and mentor a small team. The ideal candidate has extensive knowledge of DRL, PyTorch, and cloud technologies. This role emphasizes ownership, innovation, and technical excellence.

Formación

• Extensive expertise in Deep Learning, Reinforcement Learning & PyTorch.
• Ability to implement DRL algorithms from scratch.
• Comfort with productionizing code and using Docker, AWS.

Responsabilidades

• Implement DRL algorithms for complex control & combinatorial optimization.
• Launch multi-GPU training and facilitate reproducible experiments.
• Provide mentorship and leadership in a small team.

Conocimientos

Deep Learning expertise

Reinforcement Learning expertise

PyTorch expertise

Python

Linux

Docker

Multi-GPU experience

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

• Implement DRL algorithms (PPO / SAC / DDQN and variants, based on encoders / cross-attention / pointer networks) for complex control & combinatorial optimization.
• 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.
• Ownership: you’re comfortable being the primary owner for experiments, code quality, and results in a small team.
• Deep technical session with CTO on your past RL work (no LeetCode, no homework).

Qualifications

• 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).
• We are not considering entry-level or coursework‑only profiles for this role.