About the Job
At Callsign, we are on a mission to make Digital Identity simple and secure for everyone and everything. Founded in 2012, our technology is utilized by many of the world's leading financial institutions to protect millions of consumers. We are continually innovating and expanding our team, and we’re currently looking for excellent engineers to join our machine learning engineering team. This role is pivotal in productionizing state-of-the-art machine learning models for real-time behavioral prediction and anomaly/threat detection.
Job Responsibilities
- Collaborate across the machine learning life-cycle to deploy cutting-edge behavioral prediction and anomaly/threat detection models.
- Develop CI/CD testing pipelines to ensure continuous integration and delivery.
- Partner closely with the Data Science research team to automate research tasks while applying software and testing best practices to machine learning source code.
- Work alongside the Data Engineering and Dev-Ops teams on the deployment and monitoring of live production models.
Requirements
- Strong software engineering skills, including unit and integration testing.
- Experience in academia or industry focusing on projects that leverage Machine Learning.
- Ability to optimize model code that utilizes Python’s mathematical libraries (e.g., NumPy, pandas) for both batch and online operations.
- Experience with Python environment managers (e.g., conda, venv).
- Familiarity with developing applications for containerized environments (e.g., Kubernetes, Docker, Istio/Linkerd).
- Proficiency in using relational databases.
- A master’s or PhD in Computer Science, Machine Learning, or a similar quantitative field.
- Interest in Bayesian machine learning, anomaly/novelty detection, one-shot learning, and supervised learning.
- Interest in fraud prevention and cybersecurity.
- Familiarity with NoSQL databases.
- Experience working in agile teams and collaborating with QA engineers to triage production bugs.
- Familiarity with Java/Scala, cloud computing platforms (e.g., AWS, GCP, Azure), and big data technologies (e.g., Spark, Hadoop, Hive).
- Experience with workflow managers such as Airflow, MLFlow, or Kubeflow and with the ELK stack.
Benefits
- Health insurance.
- Visa costs covered, including one month of paid hotel stay.
- Annual airfare allowance for international travel to the home country.
- Maternity leave (3 months full pay) and paternity leave (2 weeks full pay).
- 25 days of annual leave plus additional company holidays.
- Competitive salary and gratuity as an end-of-service benefit.
If you feel you possess the skills outlined above, we would love to hear from you!
