Arta Finance · 10 hours ago
Senior Research Infrastructure Engineer (ML Systems)
Mountain View, CA
Full-time
Onsite
Mid, Senior Level
$110K/yr - $180K/yr
5+ years expArta Finance is an AI-native wealth platform on a mission to enhance financial lives through intelligent investment strategies and advanced digital tools. The Senior Research Infrastructure Engineer will design and scale the ML systems infrastructure that underpins trading decisions and portfolio management, focusing on building reliable and reproducible production systems.
Financial Services
Responsibilities
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
Qualification
Required
5+ years of experience building production-grade distributed systems or ML infrastructure
Deep experience designing large-scale data processing or training pipelines
Strong background in ML systems, not just model development
Proven ability to take ambiguous research requirements and turn them into scalable platforms
Strong Python skills and fluency in modern ML ecosystems
Experience operating high-compute workloads in cloud-native environments
Comfortable owning complex systems end-to-end
Think in terms of system design, performance tradeoffs, and failure modes — not just scripts and notebooks
Preferred
Experience building ML platforms at AI startups or research-driven tech companies
Experience with systematic trading, quantitative research infrastructure, or portfolio optimization systems
Experience with distributed training frameworks and large-model workflows
Familiarity with high-performance computing or low-latency systems
PhD (Valued But Not Required) in Computer Science (ML Systems, Distributed Systems, Systems for AI), Machine Learning / Artificial Intelligence, Statistics or Applied Mathematics, Operations Research (Optimization, Stochastic Systems), Computational Finance or Financial Engineering, Econometrics, Applied Physics (complex systems modeling)
Benefits
Robust health insurance offering for you and your family
High deductible health plan available with health savings account contribution
20 weeks of parental leave
17 days PTO annually
Company
Arta Finance
Arta is an AI-driven wealth and financial technology company headquartered in the United States and Singapore.
51-200 employees
H1B Sponsorship
Arta Finance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (5)
Funding
Current Stage
Growth StageLeadership Team
Felix Lin
Co-Founder
Natascha Martens
Partnerships
Recent News
2025-05-08
The Fintech Times
2025-04-04
Company data provided by crunchbase