5 дней назад
Software Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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