[Hiring] Applied Machine Learning Researcher @Gensyn

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role DescriptionContribute to novel research by designing and building massive scale deep learning systems focusing 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 codeQualifications• 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 skillsRequirements• Experience building highly performant, distributed systems (preferred)• Demonstrated background with novel research in machine learning (preferred)• Strong public presence (nice to have)• Experience working in a startup environment (nice to have)Benefits• Competitive salary + share of equity and token pool• Fully remote work - we currently hire between the West Coast (PT) and Central Europe (CET) time zones• Visa sponsorship - available for those who would like to relocate to the US after being hired• 3-4x all expenses paid company retreats around the world, per year• Whatever equipment you need• Paid sick leave and flexible vacation• Company-sponsored health, vision, and dental insurance - including spouse/dependents [ only]Our Principles• Autonomy & Independence - 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. • Communicate to be understood rather than pushing out information and expecting others to work to understand it. • Stay a small team - misalignment and politics scale super-linearly with team size. • Rejection of mediocrity & high performance - Give direct feedback to everyone immediately.• Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge. • Don’t quit - push to the final outcome, despite any barriers. • Be anti-fragile - balance short-term risk for long-term outcomes. • Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus. Apply tot his job