Jobs at MLabs

Build and maintain high-performance web scraping pipelines: develop extraction code, handle dynamic content and pagination, ensure data quality and storage, monitor and scale distributed scraping infrastructure, and optimize processes for large-scale AI data ingestion.

Own sourcing, negotiating, and executing creator partnerships across Chinese and English channels to drive user/agent activation. Build a tiered KOL CRM, run localized campaigns and livestreams, enforce anti-fraud, and report on conversion-focused attribution and performance metrics.

Translate complex institutional loan-market workflows into clear, testable functional specifications and acceptance criteria. Own specification authoring, QA/UAT planning and execution, defect triage, and client-facing workshops. Collaborate with design for wireframes, leverage AI tools to accelerate documentation and testing, and ensure engineering readiness for delivery.

Design and implement high-performance Rust backend services and core infrastructure for an institutional-grade decentralized trading framework. Build and audit secure smart contracts for EVM environments, optimize sub-millisecond trading latency, and integrate privacy-preserving cryptography and TEEs into scalable distributed systems.

Own technical onboarding and integrations for institutional trading clients: build SDKs, API docs, and automated tests; provide tier-one support and live diagnostics; implement observability and health checks; surface product feedback to core engineering.

Design, build, and optimize a production-grade, low-latency execution engine for event-driven backtesting, paper trading, and live order routing. Implement broker/exchange integrations (REST/WebSockets), ensure state consistency, idempotency, and fault tolerance across simulated and live environments, and reduce latency/slippage while collaborating with a small, high-caliber engineering team.

Design, build, deploy, and maintain AI agents to automate investment research workflows. Integrate financial tools, APIs, and data sources; implement safety guardrails; create evals and monitoring for production performance; and collaborate with product and quantitative teams to align agent capabilities with platform goals.

Lead end-to-end product for an AI-driven quantamental investing platform. Own roadmap, agent orchestration, trading execution, playbook composition, and content distribution. Collaborate with engineering/design, run user research and data analysis, author specs, prototype, test, and ship features to position the platform as a premier AI financial product.

Build and maintain core backend infrastructure for a decentralized perpetual exchange: develop an Entity Service API and UI, architect a low-latency real-time pricing engine, collaborate with quants/infra/data teams, and propose high-impact initiatives to scale the platform.

Lead migration and optimization of low-latency trading infrastructure using IaC. Build self-service platform, orchestration tooling, and observability; reduce latency, run chaos/stress tests, and harden systems for security and reliability.

Lead product vision and strategy for agentic onchain products; adapt core infrastructure for autonomous agents, drive user acquisition, prototype rapidly, define metrics and P&L, and build a world-class product team in a high-ambiguity, remote environment.

Manage day-to-day NYC office operations and serve as executive assistant to leadership: maintain office environment, handle supplies and vendors, coordinate mail and resources, manage complex executive calendars, arrange domestic and international travel, support admin and personal tasks, track workflows and communications, and enable operational efficiency in a fast-paced web3 accelerator.

Lead development and improvement of the primary iOS app, implementing pixel-perfect UI, integrating Web3/crypto wallet features, collaborating with product and design, and ensuring quality via testing, analytics, accessibility, A/B testing, and performance optimization.

Design and operate scalable, near-real-time data pipelines and backend services for a global payments platform. Model transactional ledger data for reconciliation, ensure data quality and observability, and own systems end-to-end in a remote-first environment.

Develop and maintain end-to-end AI-powered financial applications: backend services/APIs, React UIs, real-time systems, and data pipelines. Integrate LLMs and agent architectures, build embedding/vector search and retrieval systems, operationalize AI features, and ensure reliability, observability, and scalability in production.

Design, build, and own an AI-native outbound revenue engine using Clay and other outbound tools. Build agentic workflows, multi-source enrichment, signal-based triggers, and personalized outreach across email and LinkedIn. Define and optimize ICPs, align GTM with the CBO, and own pipeline metrics from outreach to revenue.

Own full sales cycle selling cross-border payments and banking infrastructure to US enterprise fintechs. Generate pipeline from an existing network, lead technical discovery and solution design, negotiate commercial terms, coordinate implementation, and represent the company at industry events.

Design, deploy, and maintain physical and cloud network infrastructure for a large-scale AI data platform. Implement IaC, virtualization, container orchestration, monitoring, and security to ensure scalable, reliable operations and integrate DevOps automation with engineering teams.

Join an SRE team to automate global infrastructure provisioning (bare-metal and cloud), maintain CD pipelines, manage vendor/telecom relationships, and share ownership for production stability, performance, and monitoring across a hosted financial integration platform.

Design and build an internal platform and developer tooling to enable reliable, self-service deployments. Own a TypeScript-based Pulumi codebase and Kubernetes runtimes, implement IaC and GitOps patterns, define SLIs/SLOs and monitoring, and participate in production operations, on-call rotations, and incident response to ensure platform reliability and security.