Senior Machine Learning Scientist
Salary not listed • Berlin, Germany • Full-time
Posted 1y ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Job Location
Berlin, Germany
Also open in Dublin, Ireland, London, England
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Fin, now part of Salesforce, is seeking a Senior Machine Learning Scientist to join their product-focused team in Berlin. This role involves defining new ML features, researching algorithms and technologies, and rapidly prototyping solutions to enhance customer experiences. The team works closely with Product and Design, leveraging ML expertise to ship impactful products, from classic supervised models to cutting-edge transformer applications. You will be instrumental in identifying value creation opportunities through ML, framing product problems, conducting data analysis, and collaborating with engineers to bring prototypes to production, ultimately measuring and socializing learnings to drive iteration and build excellent ML products.
Responsibilities
- Identify areas where ML can create value for customers.
- Determine the appropriate ML approach for product problems.
- Conduct exploratory data analysis and research.
- Understand problem areas deeply.
- Research and select suitable algorithms and tools.
- Innovate at the cutting edge of ML when necessary.
- Perform offline evaluations to validate algorithm effectiveness.
- Collaborate with engineers to deploy prototypes into production.
- Plan, measure, and share learnings to inform product iteration.
- Partner with team members and other stakeholders to build ML products.
Requirements
- Broad applied machine learning knowledge.
- 3-5 years of applied ML experience.
- Practical knowledge of statistics, including experiment design.
- Intermediate programming skills.
- Strong communication skills, both within engineering and across disciplines.
- Comfort with ambiguity.
- Advanced education in ML or a related field (e.g., MSc).
- Scientific thinking skills.
Benefits
- Competitive salary, annual bonus, and equity.
- Regular compensation reviews.
- Generous paid time off above statutory minimum.
- Generous family leave (maternity, paternity).
- Hybrid working.
- MacBooks provided (Windows available for certain roles).
- Unlimited access to Claude Code and AI tools.
- Employee and family events.