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Key skills for this role
We are seeking an experienced machine learning engineer to join our seasoned founding team to drive the development and innovation of our ML platform. Ideal candidates bring extensive experience in building the next generation of machine learning models and its training and serving infrastructure for the Spector.
This role requires a hands-on tech lead who is passionate about our mission, thrives in a startup environment, and is committed to pushing the boundaries of what ML and GenAI can achieve in industrial resilience.
Lead engineering initiatives aimed at the continuous enhancement of the ML platform, build high quality models to model drive value for users and our company.
Hands-on contributor and overseer of ML workflow to build scalable, robust distributed infrastructure to support machine learning training, inference, and evaluation.
Evaluate the technical tradeoffs of every decision.
Perform code reviews and ensure exceptional code quality.
Mentor and guide junior engineers, fostering a culture of growth, collaboration, and innovation within the technical team.
Iterate quickly without compromising quality.
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Experience in on-prem ML model deployment and observability.
Experience in building and deploying ML models for real time time series data like sensor/IoT data.
Spector.ai is a well-funded, fast-paced, innovative seed-stage startup focused on a mission to solve the $1.5 trillion challenge of industrial asset reliability. Spector is building an AI-first industrial agent platform designed to transform plant reliability and performance from reactive to autonomous operations. By combining machine learning and domain-specific industrial AI Agents, Spector.ai enables real-time diagnostics, root cause analysis, and actionable recommendations at scale. The platform extracts insights from complex industrial data including unstructured documentation and live sensor streams reducing false positives, shortening time to resolution, and scaling expertise without reliance on data scientists.
We are rapidly growing and looking for an experienced, self-driven DevOps Engineer to join our core team. This is a unique opportunity to shape our infrastructure, tooling, and deployment practices from the ground up, ensuring we can scale effectively and reliably as we move toward our next stage of funding and growth.
Spector.ai develops an industrial AI platform that detects equipment failures, diagnoses root causes, and optimizes plant-wide performance for heavy-asset operations in sectors like oil and gas, chemicals, and renewables.
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