Jobs at mTransform

Senior ML Engineer (ML + Backend)ABOUT USAt mTransform, we build full-stack Web3 solutions that move fast and create real impact — serving clients across industries who are building on decentralized infrastructure. We're a team that values ownership, velocity, and engineering craft. If you've thrived in a high-growth startup and love seeing your work in production — keep reading.THE ROLEWe're looking for a Senior ML Engineer who will function as a horizontal force across the organization — owning the ML infrastructure, processes, and delivery that power multiple products and teams simultaneously. You won't be embedded in one project; you'll be the connective tissue that makes every ML initiative possible.We're a lean team. When ML workload is low, you're expected to roll up your sleeves as a backend engineer — shipping features, building APIs, and keeping products moving. This is a role for someone who moves with urgency, takes full ownership, and operates at 10x — not by working more hours, but by making smarter decisions, faster.WHAT YOU'LL DO• Design and establish ML processes, standards, and best practices from the ground up — pipelines, model lifecycle, retraining strategies, and monitoring.• Serve multiple cross-functional teams as the go-to ML expert, translating business problems into production-ready systems.• Architect and deploy scalable, low-latency ML systems — from feature engineering through to real-time inference.• Own model performance end-to-end: you build it, you ship it, you keep it healthy.• Contribute as a backend engineer when capacity allows — building APIs, services, and integrations that power client products.WHAT WE'RE LOOKING FOR• 4+ years of ML engineering experience, with meaningful time at a fast-moving startup.• Proven track record of deploying production ML systems — not just notebooks, but real, live, monitored systems.• Deep hands-on experience with model training, optimization, and serving (Python, PyTorch/TensorFlow, Docker, Kubernetes, MLflow or similar).• Proficiency in Python, JavaScript, or TypeScript for backend development — you're comfortable building and owning APIs and services, not just model code.• Strong software engineering fundamentals — you write clean, scalable, maintainable code.• Comfortable working across multiple projects and stakeholders without losing focus or quality.• High agency — you identify what needs to be done and do it without waiting to be told.• Sense of urgency that's infectious, not stressful.NICE TO HAVE• Experience with real-time ML systems (streaming data, Kafka, Flink).• Exposure to LLMs, RAG pipelines, or applied AI products.• Prior experience building ML platforms or internal tooling.• Familiarity with blockchain ecosystems (Ethereum, Solana, L2s) and how on-chain data can be leveraged for ML use cases — think wallet behavior modeling, transaction anomaly detection, or DeFi pattern analysis.WHY mTransform• Work on meaningful problems across diverse industries, at the frontier of Web3.• Autonomy to set the standard — you're not joining an existing process, you're building it.• A team that respects your craft and moves as fast as you do.If you've built things that work in the real world and want an environment that matches your ambition — we want to talk. Show more Show less

Senior ML Engineer (ML + Backend)ABOUT USAt mTransform, we build full-stack Web3 solutions that move fast and create real impact — serving clients across industries who are building on decentralized infrastructure. We're a team that values ownership, velocity, and engineering craft. If you've thrived in a high-growth startup and love seeing your work in production — keep reading.THE ROLEWe're looking for a Senior ML Engineer who will function as a horizontal force across the organization — owning the ML infrastructure, processes, and delivery that power multiple products and teams simultaneously. You won't be embedded in one project; you'll be the connective tissue that makes every ML initiative possible.We're a lean team. When ML workload is low, you're expected to roll up your sleeves as a backend engineer — shipping features, building APIs, and keeping products moving. This is a role for someone who moves with urgency, takes full ownership, and operates at 10x — not by working more hours, but by making smarter decisions, faster.WHAT YOU'LL DO• Design and establish ML processes, standards, and best practices from the ground up — pipelines, model lifecycle, retraining strategies, and monitoring.• Serve multiple cross-functional teams as the go-to ML expert, translating business problems into production-ready systems.• Architect and deploy scalable, low-latency ML systems — from feature engineering through to real-time inference.• Own model performance end-to-end: you build it, you ship it, you keep it healthy.• Contribute as a backend engineer when capacity allows — building APIs, services, and integrations that power client products.WHAT WE'RE LOOKING FOR• 4+ years of ML engineering experience, with meaningful time at a fast-moving startup.• Proven track record of deploying production ML systems — not just notebooks, but real, live, monitored systems.• Deep hands-on experience with model training, optimization, and serving (Python, PyTorch/TensorFlow, Docker, Kubernetes, MLflow or similar).• Proficiency in Python, JavaScript, or TypeScript for backend development — you're comfortable building and owning APIs and services, not just model code.• Strong software engineering fundamentals — you write clean, scalable, maintainable code.• Comfortable working across multiple projects and stakeholders without losing focus or quality.• High agency — you identify what needs to be done and do it without waiting to be told.• Sense of urgency that's infectious, not stressful.NICE TO HAVE• Experience with real-time ML systems (streaming data, Kafka, Flink).• Exposure to LLMs, RAG pipelines, or applied AI products.• Prior experience building ML platforms or internal tooling.• Familiarity with blockchain ecosystems (Ethereum, Solana, L2s) and how on-chain data can be leveraged for ML use cases — think wallet behavior modeling, transaction anomaly detection, or DeFi pattern analysis.WHY mTransform• Work on meaningful problems across diverse industries, at the frontier of Web3.• Autonomy to set the standard — you're not joining an existing process, you're building it.• A team that respects your craft and moves as fast as you do.If you've built things that work in the real world and want an environment that matches your ambition — we want to talk. Show more Show less