MLabs

Company Name: MLabs
Job Title: Senior Data Scientist (Lending)
Job Description: **Job Title:** Senior Data Scientist (Lending) **Role Summary:** Senior Data Scientist responsible for leading quantitative research and modeling of actor behavior in decentralized finance (DeFi). Develops advanced simulation models, extracts insights from blockchain data, and communicates findings to internal teams and external stakeholders to enhance economic risk management and capital efficiency. **Expectations:** - Minimum 4 years professional experience in data science. - Proven quantitative trading background with deep knowledge of derivatives, pricing, and financial markets. - Strong problem‑solving skills and passion for DeFi/blockchain technology. - Ability to work autonomously and collaboratively in a fast‑paced, small‑team environment. **Key Responsibilities:** - Lead market analysis and build sophisticated models of crypto‑market participant behavior for integration into simulation platform. - Conduct protocol deep‑dives with engineers and product managers, delivering actionable insights for top DeFi protocols. - Design and implement new algorithms to surface security and optimization opportunities in DeFi. - Create data models and visualizations from public blockchain data and simulation outputs for internal and client use. - Present research findings internally and externally; pursue opportunities to publish industry‑defining papers. - Collaborate across product, engineering, and risk teams to ensure high‑quality deliverables and continuous platform improvement. **Required Skills:** - Python programming with expertise in Pandas, NumPy, scikit‑learn (or equivalent). - Machine learning techniques and algorithm development. - Quantitative trading experience; model development for derivatives and pricing. - Strong statistical analysis and data manipulation abilities. - Experience with public blockchain data extraction and analysis. - Excellent communication and visualization skills. - Ability to work remotely with overlapping hours for EST time zone. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Finance, Engineering, or a related quantitative field (Master’s preferred). - No specific certifications required; relevant professional experience substitutes.

London, United kingdom

On site

Senior

17-12-2025

Company Name: MLabs
Job Title: Senior Research Engineer, LLM Data
Job Description: Job Title: Senior Research Engineer, LLM Data Role Summary: Lead research initiatives at the intersection of scalable infrastructure and reinforcement learning (RL) for large language models (LLMs). Design, implement, and evaluate RL strategies that support post‑training task‑specific models, delivering production‑ready solutions to both internal teams and external clients. Expectations: • 4–7 years of dedicated AI/LLM research experience. • Master’s or PhD in Computer Science or a closely related discipline. • Demonstrated expertise with PyTorch and contemporary post‑training techniques. • Proven track record of peer‑reviewed publications in top conferences (ICLR, NeurIPS, ICML, etc.). • Strong skills in evaluation, reward engineering, and modular RL system design. • Ability to work autonomously in an early‑stage, high‑impact environment and to collaborate cross‑functionally with product and user‑experience teams. Key Responsibilities: - Design and implement scalable RL recipes for post‑training, task‑specific LLMs. - Develop modular environments, reward functions, and evaluator scaffolds for internal use and customer‑facing projects. - Conduct research that enables RL‑as‑a‑Service, publishing open‑source RL environments and datasets. - Build end‑to‑end data generation and curation pipelines to support frontier post‑training workflows. - Partner with product teams to create intuitive interfaces that allow non‑technical users to generate data and optimize reinforcement learning tasks. Required Skills: - Deep expertise in RL, LLMs, and scalable data infrastructure. - Proficiency in Python, PyTorch, and modern deep‑learning toolkits. - Experience designing and evaluating reward signals and modular RL environments. - Strong analytical skills, ability to publish rigorous research findings. - Excellent communication and collaboration abilities in a fast‑paced, cross‑functional setting. Required Education & Certifications: - Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - No additional certifications required; publication record in leading AI conferences is mandatory.

San francisco, United states

On site

Senior

31-12-2025

Company Name: MLabs
Job Title: Senior Frontend Engineer
Job Description: Job title: Senior Frontend Engineer Role Summary: Lead the design, development, and optimization of real‑time, high‑performance user interfaces for a Web3/DeFi decentralized exchange, bridging blockchain data with a seamless trading experience. Expectations: Deliver scalable, performant code at high velocity, collaborate remotely with product, design, and backend teams, maintain rigorous testing standards, and continuously improve UI responsiveness and reliability. Key Responsibilities: - Design and implement dynamic, low‑latency UIs handling live order books, price feeds, and trade executions. - Architect a maintainable, scalable codebase using React, TypeScript, and modern state‑management patterns. - Optimize rendering and resource usage to minimize load times under heavy data loads. - Partner with Product and UX/UI designers to translate complex trading requirements into intuitive interfaces. - Build responsive, accessible frontends that perform consistently across desktop, tablet, and mobile. - Integrate real‑time data via WebSockets or equivalent protocols. - Apply comprehensive unit, integration, and E2E testing; maintain clean code standards. - Collaborate with backend and design teams in a fully remote environment. Required Skills: - 6+ years professional frontend development experience, especially with real‑time, high‑performance web applications. - Expert knowledge of TypeScript and React (hooks, context, performance patterns). - Proven experience with WebSocket or similar real‑time data protocols. - Strong testing governance: unit, integration, and end‑to‑end testing in place. - Familiarity with Web3 frontend tools (ethers.js, viem, wagmi) and client‑side private key management (preferred). - Experience with Next.js (SSR), PWA development, and CI/CD pipelines (preferred). - Excellent remote collaboration, communication, and self‑management skills. - Ability to work in cross‑functional teams and translate technical requirements into actionable design. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

France

Remote

Senior

07-01-2026

Company Name: MLabs
Job Title: Senior DevOps Engineer
Job Description: **Job Title:** Senior DevOps Engineer **Role Summary:** Design, build, and manage low‑latency, high‑throughput infrastructure for blockchain and trading systems. Own end‑to‑end performance, reliability, and observability of cloud‑native environments. **Expactations:** 8+ years in DevOps or SRE, proven leadership in critical systems, deep knowledge of blockchain or low‑latency trading infrastructure, ownership mindset with a focus on automation. **Key Responsibilities:** • Architect cloud‑native infrastructure (AWS/GCP) with IaC tools (Terraform, Pulumi) for high‑throughput workloads. • Tune and scale Kubernetes clusters, including CNI and custom schedulers, to meet sub‑millisecond latency targets. • Implement observability stack (Prometheus, Grafana) and secrets management (HashiCorp Vault) for 24/7 system protection and monitoring. • Develop and maintain CI/CD pipelines for backend services and smart contract deployments. • Collaborate cross‑functionally with engineering and security teams to drive reliability and performance. **Required Skills:** • Cloud platforms: AWS, GCP • IaC: Terraform, Pulumi • Orchestration: Kubernetes (cluster design, tuning, CNI, schedulers) • Observability & monitoring: Prometheus, Grafana, alerts, dashboards • Secrets & credentials: HashiCorp Vault, secure vault solutions • Scripting/Programming: Go, Python, or Rust • CI/CD tooling: GitHub Actions, GitLab CI, ArgoCD or similar • Networking: TCP/IP, low‑latency considerations, network plugins • Security best practices: TLS, RBAC, hardening, incident response **Required Education & Certifications:** • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • Professional certifications preferred: Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer – Professional, or similar.

New york, United states

On site

Senior

09-01-2026

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