DirecciónWe are looking for a highly talented individual, with hard won industry experience, a track record of exceeding expectations, and who is ready to level up and do the most challenging and rewarding thing in their career so far.
You will join a team led by Andrew Trask (author of Grokking Deep Learning), as a seasoned engineer, helping us build libraries, frameworks, and network protocols to facilitate the secure execution of data science and machine learning code in remote infrastructure.
Skills & Qualifications
- Significant experience using Python to do interesting things
- Proficiency working with containers, cloud and virtualization technologies
- Owning important technical decisions and tradeoffs in challenging projects
- Effective communication skills and desire for radical candor
- The ability to learn things quickly as needed
Responsibilities
- Collaborate with our global teams to design and build innovative features for PySyft
- Engage in planning and scoping with Tech Leads and the Product Team
- Actively contribute to our diverse and inclusive team culture
- Deliver monthly feature sets, balancing delivery cadence and feature scope
- Interact with globally recognized partner organizations to ensure product success
Strong candidates may also have experience with :
- CI / CD
- Security / Encryption
- GPU Optimization
- Federated Learning
- Differential Privacy
- Secure Multi-Party Computation
- Network Protocols
Compensation
You will work fully remote from where you want and experience the freedom to use the tools you prefer to get the job done. #LI-Remote
We pay above market wages in most regions and get out of your way so you can be productive at work; and we provide flexible vacation so you can spend your free time feeling truly relaxed.
What you get
- Be part of a 501(c)(3) instead of a profit driven VC backed startup
- Enjoy the flexibility to work the hours that make sense for you
- Work fully remote from wherever you want #LI-Remote
- Contribute to an Open Source project in a public GitHub repo
- Work somewhere that values getting things done over organizational entropy
- Take flexible vacation time
- We pay competitively
machine learning python linux kubernetes data science deep learning differential privacy security cryptography distributed systems remote work#J-18808-Ljbffr
