Machine Learning Intern
Join Atmantara's ML team on real-world problems, from model evaluation to deployment across fraud and optimization domains.
Atmantara builds foundational AI infrastructure for financial institutions. From real-time fraud detection to multi-model portfolio optimization, we empower financial teams with scalable, secure, and compliant AI capabilities, without the engineering overhead. Our platform supports cloud-native and hybrid deployments with built-in observability, role-based access, and regulatory-grade compliance (SOC 2, GDPR, PSD2, MiFID II).
We're a high-velocity team based in Berlin and remote, working at the intersection of AI, infrastructure, and fintech.
You'll contribute to model pipelines, experiments, and performance tracking, gaining experience across the ML lifecycle.
You'll pair with engineers and researchers in a high-learning environment.
- Build and test model prototypes
- Analyze model performance and suggest improvements
- Support data preparation and augmentation
- Document insights and experiments
- Currently enrolled in or recently completed a CS/ML program
- Basic experience with Python and ML libraries
- Strong analytical and problem-solving skills
- Curious and driven to learn
- Published academic work or projects on GitHub
- Experience with ML observability or fairness tools
- Competitive salary and early-stage equity
- Flexible remote-first setup with a central hub in Berlin
- Annual learning & development stipend
- Parental leave and dedicated wellness budget
- Covered public transportation or mobility allowance
- Company laptop and full remote workstation setup
- Friday after-work dinners and drinks
- Annual team offsites and international retreats
- Regular guest talks from AI and fintech industry leaders
- Dedicated focus days, no internal meetings, deep work encouraged
We believe AI infrastructure should accelerate financial intelligence. Atmantara empowers lean, focused teams to work with autonomy and deep collaboration. We measure success in real outcomes: helping financial institutions deploy smarter models faster, without bottlenecks or complexity.
If you're excited to help build the platform powering the next generation of AI in finance, we'd love to talk.
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