About us

At NoMaze, we transform complex data into clear, actionable insights. Our mission is to empower experts with intuitive tools that unlock new possibilities from existing data. Currently, we're revolutionizing plant breeding by making genomic predictions accessible through the integration of plant DNA and weather data.

We're on a journey to scale our impact and reach more customers, and we need your expertise to make it happen!

https://www.loom.com/embed/a4f23dd8304f46aa93e37e4ac5dd5779

Responsibilities

• Hands-on design and develop ML models for genomic data analysis
• Deploy and Maintain ML Systems in pipelines
• Data Collection and Preprocessing of large genotypic plant datasets
• Test and validate models for Quality Assurance
• Collaborate with Cross-functional Teams with software engineers, data scientists, and product managers
• Mentor Junior engineers and interns, participate in future hiring decisions
• Contribute to Product Roadmaps
• Participate in strategic discussions with the founders

Benefits

• Personal Growth: Work directly with the founders and get insights into the high-paced startup mindset
• Innovation Culture: Research-oriented experiment-driven work mode
• Direct Impact: shape the future of the company in an early stage
• Flexible work: Hybrid work setting and flexible hours
• Health and wellness: Wellpass for unlimited sports classes and gym membership

Your profile

• Technical Excellence: You’ve shown in previous projects that you know PyTorch inside out
• Entrepreneurial Mindset: Where others see challenges you see opportunities
• Previous Experience in ML or Data Eng
• High autonomy: You’re able to work independently and self-organized
• Located in Munich: You can come to the office a few days per week to work in sync
• Communication skills: You’re able to articulate ideas and objections clearly

Apply now!

The position is available immediately or starting in November. This is our Application Process:

1. Email: Short mail explaining one of your previous projects and Linkedin profile to [email protected]
2. Founder Call: 1:1 conversation with a founder to explore your motivation and fit for the role.
3. Case Study + Technical Interview: Get a take-home tech challange and discuss your thinking approach with one of the engineers.
4. Offer 🎉: You’ll hear back from us within a week of your interview.