Technical Recruiter
2024-11-16
Northern America, Europe
Gensyn
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 a Technical Recruiter at Gensyn, your responsibilities would see you:
Manage the end-to-end recruitment process, from sourcing, assessing, scheduling interviews, collecting feedback, and extending offers
Utilise various sourcing techniques to identify and attract passive candidates within the machine learning, artificial intelligence, and distributed systems domains
Act as a direct extension of our engineering team and ensure an outstanding candidate experience
Develop a deep understanding of Gensyn’s mission and principles and communicate them effectively with candidates
Continuously strive to improve the recruiting process using data and pipeline metrics
Stay updated on industry trends, market insights, and competitive intelligence to inform recruitment strategies
Competencies
Must have
5+ years of experience in technical recruiting
Demonstrated success in hiring top engineering talent at a premier tech company or startup
A track record of managing a healthy volume of candidates while simultaneously ensuring a world-class candidate experience
Should have
Experience hiring engineers within machine learning, artificial intelligence, and/or distributed systems
Passion for Artificial Intelligence and its potential to positively impact humanity
Deep appreciation for statistics and recruitment funnel metrics
Nice to have
Knowledge of deep learning or a solid theoretical grasp of how deep learning models function
Understanding of blockchain fundamentals and how web3 business models accrue value
Programming experience or have taken courses in Computer Science
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
Manage the end-to-end recruitment process, from sourcing, assessing, scheduling interviews, collecting feedback, and extending offers
Utilise various sourcing techniques to identify and attract passive candidates within the machine learning, artificial intelligence, and distributed systems domains
Act as a direct extension of our engineering team and ensure an outstanding candidate experience
Develop a deep understanding of Gensyn’s mission and principles and communicate them effectively with candidates
Continuously strive to improve the recruiting process using data and pipeline metrics
Stay updated on industry trends, market insights, and competitive intelligence to inform recruitment strategies
Competencies
Must have
5+ years of experience in technical recruiting
Demonstrated success in hiring top engineering talent at a premier tech company or startup
A track record of managing a healthy volume of candidates while simultaneously ensuring a world-class candidate experience
Should have
Experience hiring engineers within machine learning, artificial intelligence, and/or distributed systems
Passion for Artificial Intelligence and its potential to positively impact humanity
Deep appreciation for statistics and recruitment funnel metrics
Nice to have
Knowledge of deep learning or a solid theoretical grasp of how deep learning models function
Understanding of blockchain fundamentals and how web3 business models accrue value
Programming experience or have taken courses in Computer Science
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