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


  • 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


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
Datos de la oferta laboral

Última Modificación
20/02/2024 18:06
Lugar de trabajo
Permite trabajar remoto
Experiencia Requerida
Modalidad de Trabajo
Tipo de Contratación
Contractor long term
Rango Salarial
pago en USD