About Alethea
Founded in 2019, Alethea is a tech company that detects and mitigates instances of disinformation and social media manipulation to help clients navigate the new digital reality. We protect clients from the threat of disinformation that targets brands, reputations, employee safety, or financial bottom lines through our industry-leading investigation and remediation services.
Position Summary
The Data Science & Machine Learning team is responsible for developing the models, metrics, and infrastructure needed to detect, assess, and mitigate disinformation, manipulation, and other online harms. We do so by sifting signals of harmful actors, behavior, and content from large, cross-platform datasets and surfacing insights to users in Artemis, Alethea’s platform for monitoring social media manipulation at scale.
We are seeking experienced machine learning engineers to join our growing DS & ML team. As a machine learning engineer, you will lead the deployment, monitoring, and evaluation of machine learning models designed to detect actors, behavior, and content associated with disinformation. You will work closely with applied scientists to develop production-ready models and the infrastructure needed to easily and seamlessly integrate them with Artemis. You will be instrumental in ensuring the scalability and efficiency of our machine learning solutions, and ensuring that we can scale our platform to meet customer needs. Along with fellow machine learning engineers and applied scientists, you will institute processes, tools, and workflows to ensure that data and machine learning is used in a responsible, reliable, and reproducible manner across the company.
Responsibilities
- Engineer, deploy, and evaluate advanced machine learning models for detecting, assessing, and mitigating actors, behavior, and content associated with disinformation
- Partner with applied scientists to refine model prototypes, prepare them for a production setting, and integrate them seamlessly into our platform
- Monitor models post-deployment to ensure their effectiveness and mitigate issues like model drift
- Design scalable machine learning infrastructure in collaboration with data engineers, cloud architects, and engineering leadership
- Contribute to the development of the DS & ML team’s processes, workflows, tech stack, norms, and culture
- Provide mentorship and technical guidance to junior members of the DS & ML team
Skills & Experience
A degree in a quantitative or technical field, or equivalent work experience
- Significant experience deploying scalable machine learning solutions in a production environment
- Significant experience serving machine learning models using technologies such as Docker, Kubernetes, and Ray
- Significant experience using Python, including use of modern data science and machine learning packages and frameworks
- Experience with observability tools such as Grafana or Prometheus for tracking model performance and resource usage
- Experience with SQL and architecting data schemas
You may also have
- Experience with a statistical or machine learning specialty, such as NLP, computer vision, or network science
- Experience designing and implementing infrastructure for online and active learning
- Experience addressing online harms, such as disinformation, coordinated inauthentic behavior, manipulated media, calls to violence, algorithmic manipulation, or hate speech
Compensation and Benefits
- Salary and stock options are negotiated based on experience.
- Healthcare at the gold-tier level, dental, and vision is fully funded by the employer. 50% of dependent coverage is provided by the employer.
- Unlimited vacation and sick leave, including office closure between Christmas and New Years, and extended holidays at Thanksgiving and the 4th of July.
- Employer sponsored 401k with a 3% match.
- Remote-first role, with the ability to work anywhere in the United States. Headquarters is located in Washington, D.C.
Alethea is an equal opportunity employer that encourages people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. We are committed to being an inclusive place to work, while maintaining a workforce that represents the communities we serve.
