Applied Scientist
il y a 5 jours
**DESCRIPTION**:
Join our team as an Applied Scientist II where you'll develop innovative machine learning solutions that directly impact millions of customers. You'll work on ambiguous problems where neither the problem nor solution is well-defined, inventing novel scientific approaches to address customer needs at the project level. This role combines deep scientific expertise with hands-on implementation to deliver production-ready solutions that drive measurable business outcomes.
Key job responsibilities
Invent:
- Design and develop novel machine learning models and algorithms to solve ambiguous customer problems where textbook solutions don't exist
- Extend state-of-the-art scientific techniques and invent new approaches driven by customer needs at the project level
- Produce internal research reports with the rigor of top-tier publications, documenting scientific findings and methodologies
Implement:
- Write production-quality code that meets or exceeds SDE I standards, ensuring solutions are testable, maintainable, and scalable
- Optimize algorithm and model performance through rigorous testing and iterative improvements
- Document design decisions and implementation details to enable reproducibility and knowledge transfer
- Contribute to operational excellence by analyzing performance gaps and proposing solutions
Influence:
- Collaborate with cross-functional teams to translate business goals into scientific problems and metrics
- Mentor junior scientists and help new teammates understand customer needs and technical solutions
- Present findings and recommendations to both technical and non-technical stakeholders
- Contribute to team roadmaps, priorities, and strategic planning discussions
- Participate in hiring and interviewing to build world-class science teams
**BASIC QUALIFICATIONS**:
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
**PREFERRED QUALIFICATIONS**:
- Experience using Unix/Linux
- Experience in professional software development
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
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