AI-powered systems are increasingly being used to replace or augment human decision-making across a broad range of industries. These systems already impact many aspects of our lives and will continue to grow in their influence over the next two decades. Therefore, ensuring the reliability, safety, security, fairness, and understandability of these systems is critical. To date, tools to ensure that AI-powered systems meet these standards have lagged behind the tools used to develop them. This has led to two common outcomes: deployment of AI-powered systems without proper verification and validation, or conversely, failure to deploy a system after costly development time and resources due to a lack of trust in the system by stakeholders.
This is where CalypsoAI comes in. We are building a suite of products and tools to facilitate the deployment of trustworthy AI by focusing on rigorous verification and validation testing.
We are looking for a Data Scientist to join our growing team. As a key member of the Data Science team, you will work alongside other data scientists, software engineers, and product owners to research, design, and develop new features that support the development of trustworthy AI for our customers. In this role, you will be required to read and contribute to cutting-edge developments in adversarial machine learning, ML bias and fairness, model staleness, and many other fascinating areas of research. You will read the latest papers and distill their core concept into product features and product direction.
Duties and Responsibilities
- Actively extend and improve our core software libraries by writing and reviewing code
- Work closely with the engineering team to integrate new features into existing products
- Contribute to the research, development, and technical design of new product features
- Develop novel tests around the security, reliability, and robustness of ML models
- Stay on top of current academic research related to ongoing team projects
Required Knowledge, Skills, and Abilities
- Bachelor’s degree in a quantitative field (statistics, economics, computer science, etc.)
- Familiarity with software development practices and tools (code review, Git, etc.)
- Comfortable with multiple scientific computing libraries (pandas, sklearn, numpy, scipy)
- Familiarity with at least one deep learning framework (PyTorch, TensorFlow/Keras)
- Python programming experience (open source or product-oriented professional setting)
- Practical experience with multiple supervised ML tasks
- Excellent interpersonal and communication skills
Preferred Qualifications
- Deep experience in at least one area leveraging tabular data (e.g. causal inference, missing data imputation, time series analysis, bayesian statistics, etc.) demonstrated via a publication, thesis (MS or PhD), or public project (code and/or write up).
- Practical experience with model lifecycle: development, deployment, and monitoring.
- Advanced degree in a quantitative field or relevant professional experience.
Why join us...
- To start with: we at CalypsoAI are building the first-ever security for AI solution!
- If that's not enough: We are a fast-growing startup meaning we have great opportunities to grow within the company!
- Endless opportunities to learn from our inspirational, talented team members
- You will never be bored at work again if you join us!
Top Skills
What We Do
CalypsoAI’s mission is to build trust in AI through independent testing and validation. We solve one of the biggest issues facing AI: machine learning models not getting deployed into production. Through CalypsoAI’s automated testing and validation solution, decision-makers gain the performance visibility needed to confidently deploy their models into production. This ensures the success of AI strategy while drastically reducing the amount of risk, time, and money spent manually testing and validating models. CalypsoAI was founded in Silicon Valley by DARPA, NASA, and DoD veterans.
