Platform Engineer

What You'll Do

• Design and Implement Scalable Infrastructure: Build reliable, scalable infrastructure to support AI/ML applications, ensuring seamless operation of our core products.
• Develop Efficient Data Pipelines: Create and manage data pipelines capable of handling complex machine learning workflows, facilitating efficient data processing and analysis.
• Optimize System Performance: Enhance the performance of machine learning systems, managing resources effectively to support large-scale operations.
• Collaborate Across Teams: Work closely with machine learning and development teams to address novel infrastructure challenges, fostering a cohesive and innovative engineering environment.
• Enhance Developer Productivity: Develop platforms and tools that improve developer efficiency, contributing to a more productive engineering workflow.

What We're Looking For

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Experience in Scalable Infrastructure: Proven experience building reliable, scalable infrastructure for AI/ML applications.
• Proficiency in Cloud Technologies: Strong understanding of modern cloud infrastructure, with a focus on reliability and scalability.
• Data Pipeline Expertise: Experience designing and managing data pipelines for complex machine learning workflows.
• Performance Optimization Skills: Ability to optimize system performance and manage resources effectively at scale.
• Comfort collaborating with cross-functional teams to solve unique infrastructure challenges.

Compensation & Benefits

US Base Salary Range: $195,000—$300,000 USD

• Competitive Salary & Equity
• 401(k) Program with Employer Matching
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Commuter Benefits*
• Autonomous Work Environment
• Workplace Setup Reimbursement
• Telecomm Stipend
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In office Perks*

*In office employees only