(-/Senior/Principal) NLP Scientist

1 month ago

Ireland NLP PEOPLE Full time

Moonshot believes that marginalised people in society — including minority ethnic people, people from working class backgrounds, women, Disabled and LGBTQIA+ people — must be centred in the work we do. We strongly encourage applications from people with these identities or who are members of other communities who are currently underrepresented in our workforce. We know a diverse workforce will enable us to understand drivers behind violent extremism and online harms in an in-depth way and do better work to counter them.

About the role:

Do you have a passion for a career in Tech and a genuine interest in working for an organisation tackling online harms – from violent extremism and gender-based violence to disinformation and child online exploitation?

We have a rare and exciting opportunity for an AI/Machine Learning Engineer to join Moonshot, supporting the Director of Engineering. We are building our Ireland-based development team from the ground up, and we’re looking for an experienced individual to help with this effort and take our software to the next phase of its evolution.

You are someone who:

Is passionate about producing high-quality user-focussed software systems, and keeping them that way.
Understands how to use AI/ML to get insights out of large datasets
Loves to work in a high-performance team and operating environment, built on mutual trust, and continuous improvement
Wants to grow their technical and non-technical skills and responsibilities in a unique organisation
Deeply cares about using your skills to solve the complex problems to which your software applies

Your responsibilities will include:

Develop, train, tune and run ML models on our data to get answers to key questions
Integrate and maintain these models within our software products
Develop and integrate new analytical algorithms to be run against large datasets
Guide our teams on how best to utilise AI/ML in ethical, appropriate and values-driven ways

Company:

Veeva Systems

Qualifications:

Essential:

3-5 years of data analytical experience in a commercial environment, including integration of machine learning/AI within software products
Strong working knowledge of Python
Strong working knowledge of large-scale data management, processing and analysis
You are comfortable working with various data management and storage systems, including relational (e.g. MySQL, Athena) and file-based (e.g. parquet)
Strong data architecture and modelling skills
You have a good understanding of modern engineering practices including DevOps, CI/CD development, source code management, etc
Experience working with cloud infrastructure (AWS preferred)
Ability to learn quickly in technical and business problem spaces
Ability to understand complex data
You’re resilient and open-minded in ambiguous situations and can approach challenges from multiple perspectives
Has worked 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
Excellent problem solving and strong communication skills, and able to work with cross-functional teams

Desirable:

Familiarity with and passion for ending online harms including violent extremism, disinformation, gender-based violence, etc.
Well-versed in Scrum and/or Kanban
Experience with serverless ETL processes, e.g. AWS Glue
Comfort with responsibility, decision-making, ownership and autonomy
You are conscious about security and data protection when contributing to all aspects of software delivery
You keep up to date on progress on the tools and processes you work with and apply new things you have learned
You have worked in a fast-paced, agile environment with dynamic priorities and you know how to balance this without affecting the reliability and robustness of your software

Level of experience (years):

Mid Career (2+ years of experience)

How to apply:

Please mention NLP People as a source when applying

Tagged as: Industry , Machine Learning , Netherlands

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