Gensyn · 17 hours ago
Applied Machine Learning Researcher
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Responsibilities
Contribute to novel research by designing and building massive scale deep learning systems focussing on modularity, composability, verifiability, and continual learning
Pursue novel research - building scalable, distributed models over uniquely decentralised and heterogeneous infrastructure
Partner with both researchers and production engineers to design and run novel experiments, taking research from theory all the way to production
Own and maintain experimental frameworks and test benchmarks for ML research in uniquely high-scale and decentralised settings
Follow best practices - build in the open with a keen focus on designing, testing, and documenting your code
Qualification
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Required
Strong background in applied machine learning / engineering
Hands-on experience with distributed model training
Comfortable working in an applied research environment - with extremely high autonomy and unpredictable timelines
Highly self-motivated with excellent verbal and written communication skills
Preferred
Experience building highly performant, distributed systems
Demonstrated background with novel research in machine learning
Strong public presence
Experience working in a startup environment
Benefits
Competitive salary + share of equity and token pool
Fully remote work - we hire between the West Coast (PT) and Central Europe (CET) time zones
Relocation Assistance - available for those that would like to relocate after being hired (anywhere from PST through CET time zones)
4x all expenses paid company retreats around the world, per year
Whatever equipment you need
Paid sick leave
Private health, vision, and dental insurance - including spouse/dependents [🇺🇸 only]
Company
Gensyn
Gensyn is a machine learning compute protocol for the world's deep learning models.
Funding
Current Stage
Early StageTotal Funding
$50.6MKey Investors
a16z cryptoEden Block7percent Ventures
2023-06-11Series A· $43M
2022-03-18Seed· $6.5M
2021-01-01Pre Seed· $1.1M
Recent News
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2024-11-25
2024-11-25
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