MEMBER OF ENGINEERING (DATA & ANALYTICS)

Accountabilities: The Member of Engineering (Data & Analytics) will be responsible for creating reliable, scalable, and intuitive data platforms that accelerate research workflows and improve the efficiency of AI development. • Design, build, and operate data and analytics systems supporting advanced model development workflows. • Own the complete lifecycle of experiment data, including data modeling, ingestion, retrieval, querying, analysis, and retention. • Develop high-performance data infrastructure capable of supporting increasing scale, reliability, and performance requirements. • Collaborate closely with research teams to understand workflows and translate data needs into effective technical solutions. • Build and maintain distributed systems, data pipelines, and analytics platforms. • Contribute to greenfield projects while improving and scaling existing systems. • Drive technical initiatives by identifying opportunities, defining solutions, and collaborating across teams. • Ensure systems are reliable, observable, maintainable, and optimized for long-term growth. Requirements: The ideal candidate has strong experience building large-scale data systems and distributed infrastructure, with the ability to solve complex technical challenges in a fast-moving environment. • Strong programming skills in Go, Python, or similar programming languages. • Proven experience designing, building, and operating distributed systems at scale. • Strong understanding of distributed systems concepts, including consistency models, queue and stream processing, and data pipelines. • Experience working with cloud infrastructure, Kubernetes, and production observability systems. • Ability to independently lead complex and ambiguous technical initiatives while collaborating with cross-functional teams. • Strong problem-solving skills with a focus on building scalable and reliable engineering solutions. • Experience with OLAP databases, time-series databases, high-cardinality datasets, or large-scale analytics systems is a plus. • Familiarity with machine learning research workflows and experimentation environments is considered an advantage. • Excellent communication skills and the ability to work effectively in a distributed, international team. Benefits: • Fully remote work environment with flexible working hours. • 37 days per year of vacation and holidays. • Health insurance allowance covering you and eligible dependents. • 16 weeks of flexible, fully paid parental leave. • Well-being, continuous learning, and home office allowances. • Company-provided equipment. • Regular team gatherings and opportunities for in-person collaboration. • Inclusive, people-first culture focused on collaboration and innovation. • Opportunity to work on impactful AI systems and contribute to cutting-edge technology development. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1