Staff Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and Build: Design and architect scalable, reliable, and efficient machine learning infrastructure and services, enabling the organization to manage extensive training, vast datasets, and an expanding clientele with varied needs.

• Scale Systems: Ensure that the machine learning platform can accommodate large-scale data processing and the development of machine learning models on a global scale.

• Agility & Cost Efficiency: Optimize the platform's implementation for flexibility and cost-effectiveness while maintaining development agility, allowing for rapid adaptation to changing requirements.

• User-Centric Design: Develop systems that are convenient, reliable, and user-friendly for both internal teams (data scientists, engineers) and external customers.

• End-to-End Ownership: Assume complete responsibility for the platform's lifecycle, from initial concept through design and implementation to deployment and monitoring.

• Collaboration: Partner closely with cross-functional teams, including data science, product, and operations, to ensure smooth integration of machine learning capabilities into critical business services.

• Innovation: Stay abreast of the latest industry trends and integrate cutting-edge technologies into our platform to sustain a competitive advantage.

• Problem-Solving: Address complex technical challenges directly, from infrastructure optimization to providing scalable solutions for data processing, storage, and access.

• Mentorship: Guide and mentor engineers, cultivating a culture of excellence and high performance within the engineering team.

⛳️ Requirements

• Proven experience in constructing and scaling cloud-based infrastructure and services, particularly in machine learning or data-intensive settings.

• Expert-level knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), and technologies such as Kubernetes, Docker, and microservices architecture.

• Extensive experience in building large-scale services, along with an understanding of the challenges associated with performance, reliability, and cost management at scale.

• Demonstrated ability to design and implement cost-effective solutions, balancing performance, security, and scalability effectively.

• Strong foundation in machine learning concepts, including model training and validation.

• Excellent leadership and collaboration skills, with prior experience in an agile development environment and mentoring high-performing teams.

• Ability to navigate ambiguity and excel in a dynamic, fast-paced environment where priorities frequently change.

• Passionate problem solver dedicated to creating practical, reliable, and efficient systems that can scale in real-world production scenarios.

🏝️ Benefits

• Competitive health insurance options

• 401K plan management

• Remote-friendly and flexible team culture

• Free lunch and fully-stocked kitchen in our South Bay office

• Additional perks: monthly wellness stipend, office setup allowance, company retreats, and more to come as we scale

• The opportunity to work on one of the most interesting, impactful problems of the decade