AI/Machine Learning Engineer

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Moonshot

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔒 Cybersecurity

🌍 Social Impact

🤝 B2B

Cybersecurity • Social Impact • B2B

Moonshot is a company that harnesses the power of the internet to address and resolve online harms globally. With a focus on both technology and human ethics, the company develops innovative methodologies and tools to identify and mitigate threats to communities, businesses, and governments, whether they are online or offline. Moonshot collaborates with experts in law enforcement, academia, cybersecurity, and government to provide actionable insights and interventions to prevent online violence and reinforce community safety. By deploying global campaigns and working with local support networks, Moonshot delivers measurable impacts and resilience against digital threats. Their services are extensive, encompassing threat monitoring, online violence prevention, and tech audits, among others, while ensuring data privacy and GDPR compliance.

📋 Description

• Developing, training, tuning and running ML models on our data to get answers to key questions. • Integrating and maintaining these models within our software products. • Monitoring model inference outputs to assess performance degradation over time. • Establishing feedback mechanisms with end users to continuously improve model performance. • Developing and integrating new analytical algorithms to run against large datasets. • Guiding our teams on how best to utilise AI/ML in ethical, appropriate and values driven ways.

🎯 Requirements

• 3-5 years of data analytical experience in a commercial environment. • Experience fine-tuning and training machine learning models, as well as integrating machine learning/AI within software products. • Working knowledge of NLP and classification techniques. • Hands-on experience with ML frameworks, such as PyTorch, Hugging Face Transformers, or scikit-learn. • Experience and understanding of model evaluation methodologies, calibration and performance metrics. • Strong working knowledge of Python. • Strong working knowledge of large scale data management, processing and analysis. • Comfortable working with various data management and storage systems, including relational (e.g. MySQL, Athena) and file based (e.g. parquet) systems. • Strong data architecture and modelling skills. • A good understanding of modern engineering practices, including DevOps, CI/CD development, and source code management. • Experience working with cloud infrastructure (AWS and GCP preferred). • Ability to learn quickly across technical and business problem spaces. • Ability to understand complex data. • Resilient and open minded in ambiguous situations, with the ability to approach challenges from multiple perspectives. • Adept at communicating complex technical concepts to non-expert audiences. • Excellent problem solving skills, with the ability to work well with cross-functional teams. • Experience working in a culture of high trust, where ideas can be freely shared and discussed, and where the team makes outcome oriented decisions together for the benefit of the mission. • We require and will check on candidates' eligibility to work in Ireland and pass any relevant security clearance procedures per the needs of clients.

🏖️ Benefits

• 30 days' paid annual leave, excluding public holidays. • Dental and Vision package. • Private ​healthcare​ ​package,​ including​ ​coverage​ ​for​ ​partners​ ​and​​ children. • Employee Assistance Programme providing access to mental health support. • Generous maternity and paternity leave: 26 weeks paid maternity leave, 8 weeks paid paternity leave. • All permanent employees are granted share options upon employment.