Arta Finance | AI-Native Wealth Platform The Company Arta is on an audacious and incredibly rewarding mission: to pave the way for people everywhere to lead more successful financial lives. Arta leverages AI and sophisticated digital tools—once reserved for ultra-high-net-worth individuals—and makes them accessible to a broader global audience. Think of it as your own digital family office, combining intelligent investment strategies, alternative assets, private market access, and smart automation to help you grow and protect your wealth effortlessly. We value trust, teamwork, and adaptability. Think: intelligent investing, personalized portfolios, and real-time trading, all backed by robust data infrastructure. The Role Arta is building an AI-native wealth management platform where machine learning systems directly power trading decisions, portfolio construction, and user intelligence. Research Infrastructure is not a support function — it is the ML systems backbone of the company. You will design and scale the infrastructure that enables researchers and investment teams to train models, run large-scale experiments, simulate strategies, and deploy production trading systems reliably and reproducibly. This role is for a senior individual contributor who enjoys owning complex distributed systems, cares about performance and correctness, and can translate cutting-edge ML research into hardened production systems. If you like building ML platforms that actually move capital — not just publish benchmarks — this will be interesting. What You Will Do Own the ML Systems Layer Architect and evolve large-scale distributed training and evaluation pipelines Build reproducible experimentation frameworks (data versioning, feature stores, experiment tracking, model registry) Design high-performance backtesting and simulation infrastructure for systematic trading strategies Enable seamless transition from research prototypes to production trading systems Power AI-Driven Trading Infrastructure Develop infrastructure for signal generation, portfolio optimization, and execution workflows Build low-latency and batch processing pipelines for market, fundamental, and alternative datasets Partner with trading and research teams to productionize alpha models and portfolio algorithms Improve throughput, latency, and reliability of compute-intensive workloads Ensure correctness, determinism, and auditability across research and trading systems Scale and Harden the Platform Optimize distributed compute across cloud-native environments Improve orchestration of large-scale ML workloads Drive observability, monitoring, and failure isolation for ML and trading pipelines Write production-quality, well-tested code with a bias for simplicity and long-term maintainability Raise the engineering bar across research systems Who You Are Arta's Compensation Philosophy We determine your salary based on factors including your interview performance, job-related skills, experience, and relevant education or training. Our offers are based on salary bands that are updated periodically using market benchmarks and consider geographic location as well (for example, higher cost regions like San Francisco or New York). If you are presented with an offer, we will review the base salary, benefits, number of options, notional option value and strike price. We would like to know if you accept our offer within 7 days. Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation. IC I: $110,000-$180,000 IC II: $160,000-$230,000 IC III: $180,000-$300,000