You will design and implement features that learn crucial insights from hundreds of millions of devices while preserving user privacy. You will use your software engineering skills to build modular and well tested code to prototype cutting edge privacy preserving algorithms. You will work with the research community to prove the robustness of your implementation. You will benchmark your solution to show efficiency and scalability. Embedding with the core team youll work with other software/ML engineers and researchers. You will review designs and code by others and provide constructive feedback while continuously learning from colleagues.
- Pursuing a PhD in Computer Science Engineering Maths or related technical field.
- Strong skills in object-oriented software design developing and testing. Proficient in at least one programming language preferably Python.
- Proficient in common machine learning and deep-learning frameworks such as PyTorch Tensorflow.
- Comfortable working independently to deliver results with minimal direction.
- Excellent problem solving critical thinking and communication skills.
- Background in Privacy Federated Learning (FL) Multi-Party Computation Trusted Compute is a huge plus.
- Oriented towards practical solutions that can be proven empirically as opposed to theoretical research.
Required Experience:
Intern
You will design and implement features that learn crucial insights from hundreds of millions of devices while preserving user privacy. You will use your software engineering skills to build modular and well tested code to prototype cutting edge privacy preserving algorithms. You will work with the r...
You will design and implement features that learn crucial insights from hundreds of millions of devices while preserving user privacy. You will use your software engineering skills to build modular and well tested code to prototype cutting edge privacy preserving algorithms. You will work with the research community to prove the robustness of your implementation. You will benchmark your solution to show efficiency and scalability. Embedding with the core team youll work with other software/ML engineers and researchers. You will review designs and code by others and provide constructive feedback while continuously learning from colleagues.
- Pursuing a PhD in Computer Science Engineering Maths or related technical field.
- Strong skills in object-oriented software design developing and testing. Proficient in at least one programming language preferably Python.
- Proficient in common machine learning and deep-learning frameworks such as PyTorch Tensorflow.
- Comfortable working independently to deliver results with minimal direction.
- Excellent problem solving critical thinking and communication skills.
- Background in Privacy Federated Learning (FL) Multi-Party Computation Trusted Compute is a huge plus.
- Oriented towards practical solutions that can be proven empirically as opposed to theoretical research.
Required Experience:
Intern
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