Role

We 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
• Kubernetes
• RPC / Serde
• Security / Encryption
• Peer-to-Peer Networking
• GPU Optimization
• Federated Learning
• Differential Privacy
• Secure Multi-Party Computation
• Network Protocols
• Big Data / MapReduce
• Deep Learning

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