Company Description

At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.  

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. 

Job Description

Join our Team and you will be working on key projects to build and improve the AI systems for Stepstone.

Working in the AI Labs department you will be working on classical machine learning systems for forecasting, scoring and classification, data enrichment pipelines and building blocks to train, evaluate, and serve large language models.   

Your responsibilities:

• You will be actively involved in the engineering, design, implementation, and deployment needed to scale the application of our machine learning models. You can take a project from idea to experiment, to prototype, to implementation!  
• You will work with our development stack consisting of AWS SageMaker, MLFlow, Terraform, and others, and help evaluating and introducing any new tools and technologies that might help us work more efficiently.  
• You will also actively work on current LLMs, including fine-tuning and productionizing open source models at scale.  
• Together with other Machine Learning Engineers, you will help define and evolve best practices for our community.  
• You will interact with various product owners across the company for defining and understanding their problems from a technical perspective, contributing to and driving efficient formulations and solutions to these problems.  

Qualifications

• You have Industry experience with cloud services for machine learning. Hands-on experience with AWS services, specifically Sagemaker is a plus 
• You have expertise with building scalable ML & LLM solutions 

• You have good knowledge of Docker and CI/CD (e.g. Atlassian Bamboo) 
• You have experience with building and or using model management tools (e.g. mlflow) 
• Experience with LLMs is a strong plus.   

Additional Information

We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer:  

• 30 days of holidays + 2 extra days for Christmas and New Year's Eve   
• Hybrid working model 
• Company pension scheme 
• 24/7 Employee Assistance Programme 
• Life Assurance Cover 
• Volunteering days 
• Job bike 
• Discounted parking or job ticket 
• In-house gym 
• In-house barista 
• And you can bring your dog to the office