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You will be updated with latest job alerts via emailAbout Us
Layer Finance aims to digitally disrupt the private markets sector using Artificial
Intelligence. We are building a platform that streamlines deal sourcing and closing for
professional market participants. Our unique proposition integrates three pillars: Deal
Brokerage SaaS solutions and Outsourcing Services all aimed at connecting investors
with highquality offmarket opportunities. Our Artificial Intelligence solutions boost
process efficiency and enable deal teams and professional investors to make better
decisions.
We are currently focusing on real estate investments including both the financing of
development projects with debt or equity solutions and the placement of existing assets
in the secondary market. Additional asset classes such as company transactions like
strategic financing or company exits will be added to our platform in the near future. Our
unfair advantage is that we have an inhouse team of senior business experts with many
years of experience in private markets deal sourcing and closing.
Responsibilities
Solve various data extraction summarization and content generation problems
Drive the adoption of stateoftheart machine learning methods and models
Contribute to other software development work if necessary
Important to have
Experience with applying correct machine learning concepts algorithms and tools
Knowledge of finetuning and performance evaluation of large language models
Disposition for optimal decisionmaking critical thinking and selfawareness
Kind positive and collaborative attitude focused on mutual success
Ability to work remotely but come to the office in Vienna if needed
Residence in Austria
Nice to have
Experience with natural language processing and information retrieval
Strong familiarity with recent advances in the machine learning space
Affinity towards using Python in a wellengineered typesafe fashion
General competence in broader software engineering topics
Existing work that can be demonstrated or reviewed
We offer
Opportunity to work on challenging industry problems using advanced technology
No nonsense and relaxed yet wellorganized and active environment
Good colleagues with plenty of experience in their fields
Interview process
Conversation with the software engineering team 30 minutes
Conversation with the company leadership 30 minutes
Detailed conversation with the software engineering team 2 hours
Check of provided references
Job offer
Full Time