Member of Technical Staff – ML Research
Read AI
full-time
Posted on:
Location Type: Hybrid
Location: Berlin • Germany
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Job Level
About the role
- Lead research efforts exploring new neural network foundations and architectures, going beyond incremental improvements
- Advance neural networks broadly, with a particular focus on LLMs as a key application area
- Rethink model representations and computational primitives
- Explore hypercomplex neural networks and alternative mathematical formulations
- Investigate analog, mixed-signal, and custom hardware approaches
- Design and run experiments and prototypes to validate novel hypotheses
- Define evaluation methodologies and compare new approaches against state-of-the-art baselines
- Translate research ideas into scalable implementations and measurable results
- Collaborate closely with engineering to bridge research and practical systems
- Act as the technical lead for this research direction
- Collaborate with the ML engineering team to support complex ML engineering projects by providing cutting-edge insights and guiding key technical decisions
Requirements
- Strong background in machine learning research or advanced ML engineering
- Deep understanding of modern deep learning architectures and their limitations
- Proven ability to formulate original ideas, design rigorous experiments, and iterate based on results
- Strong curiosity about fundamental ML questions, not just applied ML
- Professional experience training or fine-tuning frontier models; extensive hands-on personal projects are also acceptable
- Hands-on experience with reinforcement learning (RL), including areas such as RLHF and policy optimization
- Comfortable working in ambiguous, open-ended research environments while maintaining a strong focus on outcomes, prioritization, and rapid validation of ideas
- Experience optimizing large-scale inference systems (latency, throughput, memory efficiency), including practical understanding of memory movement, KV cache behavior, and quantization
- Experience with hardware-aware ML or hardware design
Benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
neural networkslarge language models (LLMs)hypercomplex neural networksreinforcement learning (RL)RLHFpolicy optimizationlarge-scale inference systemsmemory movementKV cache behaviorquantization
Soft Skills
curiosityoriginal idea formulationexperiment designiterative developmentfocus on outcomesprioritizationrapid validationcollaborationtechnical leadershipadaptability