About Us
We are at the forefront of a new era in cloud computing, building the tools and infrastructure that power the global AI economy. Our mission is to enable teams to solve real-world challenges and build transformative AI solutions—without massive infrastructure costs or the need for large in-house AI/ML teams. Our team consists of over 500 people globally, including 400+ engineers working across Europe, North America, and Israel.
The Role
We are an AI R&D team focused on cutting-edge research in large language models and agentic systems. Some of our recent work includes:
Test-time guided search to build smarter agents
Scalable task data collection for reinforcement learning in software engineering agents
Optimizing LLM training using agentic trajectory data
We’re looking for a Senior Software Engineer with a background in Machine Learning to help us build and scale the infrastructure powering this research.
Your responsibilities:
Design and implement research infrastructure: training/evaluation frameworks, data pipelines, orchestration systems
Optimize system performance: inference speed, orchestration of thousands of agent runs
Build web services to showcase and operationalize research
Own and maintain key parts of the system
What we’re looking for:
5+ years in software development with ML project experience
Strong coding skills (we use mostly Python)
Familiarity with CI/CD, version control, testing best practices
Strong sense of ownership, attention to detail, and initiative
Nice to have:
Experience with LLMs, agentic systems, inference (e.g., vLLM), or ML libraries (e.g., PyTorch, JAX)
DevOps/cloud skills (Kubernetes, cloud platforms)
Familiarity with big data technologies (e.g., Spark, Hadoop, TractoAI, YTsaurus)
Systems design for large-scale ML infrastructure
Bonus: Go, C++, Rust experience
What we offer:
Competitive salary and full benefits
Clear career growth opportunities
Hybrid work environment
Dynamic, collaborative culture focused on innovation and ownership
Join the Znoydzem community.
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