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 one 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
- Expertise in Machine Learning, Computer Vision, and scalable statistical techniques (e.g. unsupervised machine learning, logistic regressions, random forest, SVMs).
- Expertise in utilizing scalable data insight platforms and tools. Representative examples would include: programming skills (e.g. Python, TensorFlow, PyTorch), cloud platforms such as (GCP, AWS, etc).
- 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.
- Curious about attacker incentives and how malicious behavior can be identified in data.
- 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.
- Have a natural inclination to work in a fast-paced startup culture ready to take up multiple responsibilities.
Minimum Qualifications:
- Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
- 2 years of work or educational experience in Machine Learning or Artificial Intelligence.
- 1 year of relevant work experience, including software development.
- Experience with one 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 one or more of the following: Computer Vision, Recommendation systems & Personalization, Search and Discovery Systems, Natural Language Processing, classification, pattern recognition, targeting systems, ranking systems, or similar.