Applied Machine Learning Researcher

Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.

As an Applied Machine Learning Researcher at Gensyn, your responsibilities would see you:

• 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
  
  

Competencies:

Must have

• 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

Should have

• Experience building highly performant, distributed systems
• Demonstrated background with novel research in machine learning

Nice to have

• Strong public presence
• Experience working in a startup environment

Compensation / 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]
  
  

Our Principles

Autonomy

• Don’t ask for permission - we have a constraint culture, not a permission culture
• Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs
• Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing
• No middle managers - we don’t (and will likely never) have middle managers

Focus

• Small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams
• Thin protocol - build and design thinly
• Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding

Reject mediocrity

• Give direct feedback to everyone immediately rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain
• Embrace an extreme learning rate rather than assuming limits to your ability/knowledge
• No quit - push to the final outcome, despite any barriers