Machine Learning Engineer

ABOUT CAPTIFY

Captify is the leading Search Intelligence Platform for the open web and the largest independent holder of first-party search data outside of the walled gardens, connecting the real-time searches from over 2 billion devices globally. Its Search Intelligence technology powers omnichannel programmatic advertising and real-time insights for the world’s biggest brands, such as Disney, Unilever, eBay, Mercedes-Benz, Microsoft, Nestlé, GSK, Uber, Mars, P&G, Sony and Toyota—without reliance on third-party cookies. Captify brings brands more customers, publishers greater yield and consumers the most relevant digital experiences.

OUR CULTURE AND VALUES:

Here at Captify we are proud of our culture - It’s contagious. Pass it on.

Step inside any of our global offices and one thing that is blissfully obvious is that while we’re putting blood, sweat and tears into disrupting the Search game, we’re having a seriously good time doing it. We’ve travelled the world together, enjoyed Captify Festivals, parties and our famous events across every market. We always take time to stop to celebrate milestones and wins.

We live by our core values:

• Building this together
• Give a shit
• Fail fast to succeed faster
• Unlimited potential

Find out more about our culture here: https://careers.captify.co.uk/

OVERVIEW

Capytify has an exciting opportunity for a remote Machine Learning Engineer based in either of our EU locations Poland, Greece, Portugal, Slovakia, Czechia and Hungary. We are looking for a Machine Learning Engineer with experience in natural language processing and a passion for innovation to join one of our product teams. You will be working with our internet-scale search data, slicing and dicing it using cutting-edge NLP. You will be collaborating with ML engineers from other teams to better understand the structure of our data and how best to utilise it. The role offers exceptional opportunities to help develop existing product lines, and have ownership of both R&D and deployment processes. With exciting projects, technologies and services in the pipeline now is a great time to be part of our journey.

KEY RESPONSIBILITIES

What you’ll be doing:

• Build models for analysing search behaviour on the internet
• Implementing prototypes of the algorithms and models you design in Python
• Focus on delivering solutions to production (this is not a research-only role)
• Introducing, evaluating, and recommending machine learning technologies that may be relevant to our success (e.g., TensorFlow, Spark, etc.)
• Contribute to discussions on appropriate frameworks for Machine Learning Operations
• Designing training and evaluation protocols
• Producing insight and performance metrics to share with internal and external stakeholders
• Setting up monitoring for performance metrics and overall system behaviour including alerts for any anomaly detected
• Working with product and analytics to build hypotheses, design tests, monitoring and KPIs
• Join Captify’s company-wide Machine Learning chapter and share experiences and learnings with the wider team

REQUIREMENTS:

What you need to be successful:

• Experience delivering working ML/AI solutions to production and refining them over time
• Good working knowledge of Python, ML and commonly used libraries - Pandas, Numpy, Scikit-Learn etc.
• Good working knowledge of SQL
• Passionate team player with a desire to share knowledge and learn from others
• Excellent communication skills in English

Things that are a plus but can be learned on the job:

• Previous NLP experience is a big plus
• Understanding of transformer architectures (e.g. hugging face transformers, fine-tuning, prompt engineering etc)
• Experience with open-source models (e.g. Falcon) and closed-source (e.g. GPT, Llama2/3)
• Knowledge of model serving and orchestration (e.g. Airflow, MlFlow, Argo, vLLM)
• Familiarity with containerization (Docker, Kubernetes) and cloud environments (e.g. AWS)
• Some experience with GPU acceleration, model quantization or other inference optimizations (e.g. ONNX Runtime)
• Experience in Spark and Databricks
• Not afraid of getting your hands dirty with production
• Bachelor degree in Machine Learning, Computer Science, Mathematics, Statistics or equivalent experience