You will deploy and harden machine learning components in real-world energy and industrial environments. This role bridges the gap between research and production by operationalising physics-informed and deep learning models under real-world constraints. You will ensure the robustness, stability, and explainability of AI systems within complex physical infrastructure and field environments.
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Machine Learning Engineer at deep tech industrial AI startup
Are you ready to bridge the gap between advanced machine learning research and real-world industrial impact? Join a well-funded deep tech startup where you will deploy physics-informed models into critical energy environments. This is a unique opportunity for an engineer who thrives at the interface of science and field deployment, building robust AI systems that solve complex physical challenges at scale. If you are a PyTorch expert with a passion for industrial AI and production-grade reliability, this remote-first role offers the chance to lead high-stakes deployments globally.
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Location
Remote
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Deep tech industrial AI startup
What you will do
- Own and deploy end-to-end ML pipelines including data validation, feature extraction, model serving, and performance monitoring.
- Adapt foundation models and algorithms to site-specific industrial data and infrastructure constraints.
- Collaborate with research teams to translate novel physics-informed methods into production-grade, reliable systems.
Who this is a fit for
- Proficient in Python and deep learning frameworks like PyTorch or JAX, with experience in Docker and Kubernetes.
- Strong background in applied ML for time series or operational AI within industrial or energy contexts.
- Proven experience productionising ML models with a focus on CI/CD integration, observability, and system reliability.
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Why this role is remarkable
- Deploy cutting-edge physics-informed ML models that have a direct impact on global energy and industrial efficiency.
- Work at a well-funded startup backed by top-tier VCs, operating at the intersection of deep learning and physical science.
- Lead the transition from lab-based research to production-grade deployments in complex, high-stakes operational environments.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.