Backend ML Engineer (Remote)

Description:

Devron technology breakthrough in machine learning is generating insights from private data silos faster than ever before, but this time preserving the privacy of the underlying data. It is founded by a team of covert intelligence operatives, government, and financial services executives – building a platform ready to cope with the agility, efficiency, and relentless push required to plow through the regulatory and compliance that these organizations require. 

Our team just came out of the intelligence community, a few from the CIA - to productize an approach with lessons learned from of the most sensitive environments to build machine learning applications in.

We're based out of NYC and DC - backed by Fintech Collective, Afore Capital, Evan Weaver (CTO of FaunaDB) and Tim Chen @ Essence VC and more.

Experience

• Experience with overseeing a company's overall cloud infrastructure.

• Expertise with GCP and AWS including Docker containers and Kubernetes.

• Experience with automation of ML model deployment, management, scaling, and networking.

• Preferred experience in distributed ML tasks: model parallelism, data parallelism, federated learning, and on-device learning.

• Expertise in utilizing scalable data insight platforms and tools including programming skills (e.g. Python, TensorFlow, PyTorch).

• Exposure to machine-learning model lifecycle; training, evaluation, serving.

• Interest in deploying machine-learning models as scalable services.

• Interest in "tool-making"; building features for developers that empower them and make them faster.

• A strong communicator with the ability to build meaningful customer relationships.

• A strong contributor is highly cross-functional efforts who is not afraid to step in and lead a technical project.

• Enthusiastic about innovating in fast-growing privacy and artificial intelligence space.

Minimum Qualifications:

• Bachelor's degree in Computer Science or related technical field or equivalent practical experience.

• Experience developing scalable low-latency, distributed data processing solutions

• Experience in running large scalable distributed services following microservice architecture

• 2 years of work or educational experience in Machine Learning or Artificial Intelligence.

• 1 year of relevant work experience, including software development.

• Experience with or more general-purpose programming languages including but not limited to: Python, Java, C++.

Preferred Qualifications:

MS or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.

• Experience with or more of the following: Federated Learning, Computer Vision, Recommendation systems & Personalization, Search and Discovery Systems, Natural Language Processing

• Experience with or more of the following: Federated Learning, Computer Vision, Recommendation systems & Personalization, Search and Discovery Systems, Natural Language Processing