Senior Software Engineer - Machine Learning (60% - 100%)

About Us

Layer Finance intends to transform the private markets sector by leveraging 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 high-quality off-market opportunities. Our product boosts process efficiency and enables 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 advantage is that we have an in-house team of senior business experts with many years of experience in private markets deal sourcing and closing.

Tasks

Responsibilities

• Solve various data extraction, summarization and content generation problems
• Drive the adoption of state-of-the-art machine learning methods and models
• Own designated areas and make decisions based on product requirements
• Contribute to other software development work if necessary

Requirements

Important to have

• Experience with machine learning algorithms, tools and data analysis
• Kind, positive and collaborative attitude focused on mutual success
• Ability to work remotely but occasionally meet in-person as needed
• Official permanent or temporary residence in Austria

Nice to have

• Knowledge of Scala or other functional statically typed programming language
• Ability to use Python in a well-engineered and type-safe fashion
• Experience with natural language processing and information retrieval
• Knowledge of fine-tuning and performance evaluation of large language models
• Familiarity with recent advances in the machine learning space
• Experience with designing and implementing high quality software services
• General competence across variety of software engineering areas
• Existing work that can be demonstrated or reviewed

Benefits

We offer

• Opportunity to work on interesting problems using advanced technology
• No-nonsense, relaxed, well-organized and inspiring environment
• Wide spectrum of knowledge, ideas and personal backgrounds
• Good colleagues with plenty of experience in their fields

Technology

• Scala, TypeScript, Python, Postgres, ZIO, Quill, React, Radix, Jotai, SBT, Vite, Uv
• Podman, OpenTofu, Google Cloud, Neptune, Miro, Notion, ClickUp, Discord

Interview process

• Introductory conversation with the software engineering team – 30 minutes
• In-depth conversation with the software engineering team – 2 hours
• Conversation with the company leadership – 30 minutes
• Offer

If interested, please apply with your CV and optionally a cover letter.

Thank you for considering becoming our new colleague.