MLabs

Company Name: MLabs
Job Title: Senior Full-Stack Software Engineer
Job Description: **Job Title** Senior Full‑Stack Software Engineer **Role Summary** Lead the design, development, and deployment of complex end‑to‑end AI product workflows. Own full‑stack engineering from concept to production while driving architecture, scalability, and best‑practice adoption across teams. **Expectations** - Deliver high‑velocity, high‑quality software solutions on schedule. - Take full ownership of feature releases, including design, implementation, testing, and onboarding. - Collaborate effectively with Applied Research, Product, GTM, and Engineering to shape product direction. - Mentor and influence peers on technical standards and architectural decisions. **Key Responsibilities** - Architect and build new, scalable workflows for core AI products. - Optimize and maintain existing feature‑rich workflows, ensuring performance and reliability. - Act as the bridge between research, product, GTM, and engineering teams. - Identify architectural improvements and implement scalability solutions. - Enforce technical decisions and promote best‑practice engineering culture. - Contribute across the full technology stack in a high‑velocity environment. **Required Skills** - 4+ years professional full‑stack experience (front‑end + back‑end). - Proven ownership of complex projects from inception to production. - Strong bias for action and demonstrable delivery record. - Deep knowledge of system design, data structures, and algorithms. - Proficiency in TypeScript & Node.js; exposure to Next.js. - Experience with Python. - Familiarity with cloud services: AWS and Vercel. - Bonus: Experience with communication APIs such as Twilio. - Excellent written and verbal communication. - Ability to work independently and collaboratively in a fast‑paced environment. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). - Relevant certifications (e.g., AWS Certified Solutions Architect, Node.js Developer) are advantageous but not mandatory.

San francisco, United states

On site

Senior

26-11-2025

Company Name: MLabs
Job Title: Front-end Engineer (NYC)
Job Description: Job title: Lead Frontend Engineer Role Summary: Design and own the client‑side architecture of a high‑frequency, on‑chain trading platform. Lead the frontend team in delivering a responsive, low‑latency user interface built with React and Next.js, while ensuring robust Web3 integration and secure wallet authentication. Expactations: - Technical leadership of the frontend team, setting coding standards and reviewing architecture decisions. - Ownership of end‑to‑end performance from data ingestion to rendering, maintaining sub‑second latency. - Drive the evolution of a scalable, reusable component library and API contract. - Mentor junior engineers, fostering a culture of quality code and best practices. - Collaboration with design, backend, and product teams to translate trading requirements into UI/UX solutions. Key Responsibilities: - Architect and implement secure wallet connectivity and authentication for on‑chain protocols. - Optimize state and data flow to handle massive real‑time market data streams with GraphQL and query libraries. - Build and maintain a high‑performance, responsive component library using Tailwind CSS. - Establish comprehensive end‑to‑end testing (unit, integration, E2E) and production monitoring for reliability. - Lead performance tuning, rendering pipelines, and resource management to ensure seamless trading experience. - Mentor and coach the frontend engineering team, conducting code reviews and design discussions. Required Skills: - 7+ years of professional frontend or full‑stack experience. - Deep expertise in React (v18+), Next.js, and TypeScript. - Proven proficiency with Web3 libraries (Wagmi, Viem, Ethers.js) for blockchain interaction. - Strong command of GraphQL (Apollo Client) and TanStack Query for data fetching and state management. - Advanced styling skills with Tailwind CSS and component library design. - Experience with high‑frequency trading data pipelines, real‑time rendering, and performance optimization. - Familiarity with TradingView or similar charting libraries. - Knowledge of DeFi primitives, perpetuals trading, and RWA markets is a plus. - Experience in continuous integration, automated testing, and production monitoring. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (equivalent industry experience acceptable). - Relevant certifications in front‑end development, React, or blockchain technologies are a plus.

New york, United states

Hybrid

Senior

10-12-2025

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

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