Machine Learning Engineer

Senior ML Engineer (ML + Backend)

ABOUT US

At 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 ROLE

We'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.