Senior ML Engineer - Content and Contributor Intelligence (Remote - Ireland)

Requirements:

• Experience developing and productionizing machine learning models, including their supported data pipeline.
• Experience with machine learning using packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, Sklearn, etc.
• Strong coding skills in Python or equivalent (Python, Java and C++).
• Solid understanding of engineering and infrastructure best practices.
• The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.

What you'll be doing:

• Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
• Work with large and complex datasets.
• Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
• Work in the content and contributor intelligence team on text and visual understanding, along with fine-tuning transformer models to derive embeddings for multiple input types.
• Productionize and automate model pipelines within Python services.
• Drive and advocate adoption of best practices in MLOps (Machine Learning Operations).

Perks & Benefits:

• Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
• Competitive salary, a pension scheme, and an optional employee stock purchase plan.
• 25 days paid holiday (rising to 29 with service), plus one floating holiday.
• €150 monthly reimbursement to help cover remote working expenses.
• €95 caregiver reimbursement to support dependent care for families.
• Private health insurance, including dental and vision.
• Flexible working hours and meeting-free Wednesdays.
• Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
• Opportunities to participate in digital events and conferences.
• €95 per month to use toward qualifying wellness expenses.
• Quarterly team offsites.