Senior ML Research Engineer
at Digital Waffle
Hamburg, Hamburg, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 11 Aug, 2024 | Not Specified | 11 May, 2024 | N/A | Statistics,Python,Completion | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
JOB DESCRIPTION
Digital Waffle is proud to have partnered with an innovative Clima-Tech start-up in Berlin, looking for a Senior ML Research Engineer to join their growing team!
Role: Senior ML Research Engineer
Location: Berlin (Hybrid/Remote)
Salary: €70,000-€80,000 (with stock options)
REQUIREMENTS
- A PhD or Master’s degree in statistics/mathematics/computer science/machine learning
- Expert in Python and a wealth of industry experience writing code in a production environment.
- Proficiency in math and statistics.
- Proven track record in developing machine learning models for regression problems.
- Outstanding communication and teamwork abilities, capable of working effectively with both functional and cross-functional teams.
- Self-driven with the capability to manage a project from inception to completion and achieve outcomes.
Responsibilities:
- Develop and improve cutting-edge ML models and pipelines powering the most innovative ML-powered product in Europe fighting climate-change
- Pioneer new approaches to help fight climate-change, not just in Germany, but across the globe
- Craft innovative features and enhance existing ones to ensure model precision and accuracy
- Evaluate the robustness of your predictions, considering how project context and parameters influence accuracy metrics.
- Lead the entire R&D process, from initial research and data exploration to rapid prototyping and continuous model improvement in production.
- Bridge the gap between data science and other teams (Engineering, Product, Business Development) by providing expertise to assess feasibility, define project scope, and shape research initiatives.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Hamburg, Germany