10 days ago
Base Salary
$169k - $273k/yr
Responsibilities
- Partner with ML, Applied Science, and engineering leadership to identify gaps in the ML platform.
- Shape a multi-quarter technical strategy to enhance platform capabilities.
- Drive platform-level initiatives that establish architecture for real-time inference.
- Redesign model configuration and deployment processes.
- Mentor junior engineers and conduct design reviews to raise standards across the ML organization.
Requirements
- BS in Computer Science or a relevant technical field.
- 7+ years of professional software development experience.
- Experience collaborating with machine learning engineers and data scientists.
- Genuine curiosity about ML modeling and its applications.
- Deep understanding of building tools that bridge research and production software.
- Technical leadership experience with a proven ability to mentor others.
- Expertise in library design, API design, data structures, and algorithms.
- Strong familiarity with the Python ecosystem, including NumPy, Pandas, and PySpark.
- Proven ability to architect high-throughput distributed inference systems.
- Experience in engineering robust data architectures with a focus on performance tuning.
Benefits
- Remote work options available in select states.
- Opportunity to work on impactful projects that reduce food waste.
- Join a diverse and inclusive team committed to social good.