ML Research Engineer

Gensyn • Remote • 6d ago

The Role

Design and implement highly decentralised training pipelines. Scope can span proof of concept development for novel ML research—e.g., our RL-Swarm reinforcement learning framework or Verde verification system—to the maintenance of highly fault-tolerant production systems

Responsibilities

Build scalable, distributed ML compute systems over uniquely decentralised and heterogeneous infrastructure
Design and develop novel machine learning algorithms and deep learning applications, and systems for Gensyn; likely from scratch or by augmenting existing systems
Partner with both researchers and production engineers to design and run novel experiments, taking research from theory to production

Competencies

Must have

Strong background in applied machine learning/engineering
Comfortable working in an experimental environment, with extremely high autonomy and unpredictable timelines
Proven background in training, retraining, inference or ML systems
Impeccable analytical and problem-solving skills
Familiarity with data structures and software architecture

Preferred

Experience building highly performant, distributed systems
Demonstrated background developing or implementing novel ML research
Experience developing mission-critical, highly complex production systems, particularly with respect to improving their fault tolerance/crash-recovery

Nice to have

Experience working in a startup/scaleup environment

Gensyn

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