About this role
Hoxhunt is hiring a Machine Learning Engineer in Helsinki, Finland, to build and maintain advanced AI features and models for millions of users. This role suits a software engineer with production experience in machine learning and generative AI who wants to work in a hybrid setting.
Role Overview
The Machine Learning Engineer joins an internal AI development team in Helsinki to build shared LLM infrastructure, multimodal pipelines, multi-step agentic systems, and specialist machine learning models. The role involves embedding with various product teams to solve complex problems, minimize pipeline costs, and deliver threat detection capabilities.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Founded in 2016 by four visionaries, Hoxhunt employs over 270 people globally with hubs in Finland, the United States, the United Kingdom, and Singapore. The award-winning software company operates in human risk management and cybersecurity, recognized by Gartner, G2, TIME Magazine, TechCrunch, Forbes, and Fast Company.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the monthly salary for the Machine Learning Engineer role?
The monthly salary is between €5,000 and €6,500, determined by the candidate's experience.
Where is the position located?
The role is based in Helsinki, Finland, utilizing a hybrid work model that requires weekly visits to the office.
How many years of experience are required?
Applicants must have at least 3 years of software engineering experience in production environments.
What does the recruitment process involve?
The process includes a 30-minute initial remote call with Talent Acquisition, a 60-minute remote meeting with the Hiring Manager, a 90-minute assignment and panel discussion at the Helsinki office, followed by reference checks and an offer.
What cloud platforms are relevant to the position?
Experience with at least one major cloud platform is required, with Google Cloud Platform noted as the preferred stack.