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5 дней назад

Software Engineer (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer (AI/ML): Building and stewarding the research codebase, training infrastructure, and production path for large-scale tabular foundation models with an accent on Python, PyTorch, distributed inference, and robust experimentation. Focus on evolving early-stage research software into scalable engineering systems, building CI and contract testing, and enabling reliable collaboration between research and production engineering.

Location: Barcelona, Spain; On-site

Company

hirify.global is an AI company developing NEXUS, a large tabular model for enterprise decision-making, with backing from leading investors and customers including Fortune 100 companies.

What you will do

  • Own the core research codebase behind model development, large training runs, and production deployment.
  • Build infrastructure and agentic workflows that improve research efficiency and accelerate experimentation.
  • Lead the transition from early-stage experimental code to scalable, maintainable, and production-ready engineering.
  • Establish software engineering best practices for machine learning and mentor research scientists.
  • Build and own CI, contract tests, and verification systems that protect research-engineering interfaces.
  • Maintain documentation and collaborate across teams to turn research breakthroughs into production impact.

Requirements

  • 5+ years of software engineering experience, including meaningful work with ML or data-intensive backends, training pipelines, distributed inference, or feature infrastructure.
  • Expert-level Python proficiency and deep familiarity with PyTorch.
  • Strong software architecture skills, including modular design, clean interfaces, and maintainable codebases.
  • Experience with ML research tooling and cloud infrastructure such as AWS or GCP, Weights & Biases, Datadog, Kubernetes, ArgoCD, and GitHub Actions.
  • Experience developing solutions for robustness, quality assurance, and reliability in software or ML systems.
  • Excellent communication skills and the ability to collaborate across research and engineering disciplines.

Nice to have

  • Familiarity with MLOps, CI/CD for machine learning, and infrastructure as code such as Terraform.
  • Experience in an early-stage startup environment.
  • Background or strong interest in tabular data, data engineering, or enterprise data architecture.
  • Experience with Rust, C++, or Go.
  • Open-source contributions to machine learning libraries, frameworks, or tools.
  • Bachelor’s degree in Computer Science, Software Engineering, or a STEM field.

Culture & Benefits

  • Competitive compensation with salary and equity.
  • Comprehensive health coverage for employees and dependents.
  • Paid parental leave for all new parents, including adoptive and surrogate journeys.
  • Relocation support for employees moving to join the team in an office location.
  • Low-ego, mission-driven culture valuing diverse perspectives, ownership, and bias toward action.

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