Machine Learning Data Engineer

About Oden

Manufacturing is undergoing its fourth industrial revolution, with factory operations increasingly driven by real‑time applications that combine process and context data with advanced ML and AI algorithms. This is unlocking a staggering opportunity to improve the efficiency and productivity of existing manufacturing processes.

As a Manufacturing AI company, Oden is at the forefront of this revolution. We combine large‑scale data processing architectures and advanced AI and ML algorithms within the Oden platform so manufacturing operations teams can continuously monitor, analyze, and optimize their production across a diverse set of processes and conditions. Our goal is to maximize efficiency, sustainability, and competitiveness in the manufacturing domain – to help True Makers Make Things Better!

• We obsess over customers. Everything we do is to create profound results and delight for our customers. Every Viking cares about the purpose of the product and company, and prioritizes work based on customer end results. When in doubt, we go to the Gemba – we’re happy to put on steel toe boots and hit the factory floor to work with the production manager.
• We move fast and follow through – we live by transparent and scientific thinking, act with urgency, and put in the work to find the best ideas with those around us.
• We elevate each other by giving and receiving direct, honest feedback and holding ourselves and others to a high standard to help the team rise, deliver, and win together.
• “Be True Makers to Serve True Makers.” We’re building a community that fuels innovation and accelerates our pace and impact. We always ask if there’s a better way to do something, even if it's unconventional – then we try it. We aim for bold yet simple solutions that cut through complexity and drive meaningful progress.

As an ML Data Engineer, you will research, develop and implement data and machine learning pipelines and systems to support applications that enable operations teams to manage and optimize the manufacturing process as effectively as possible. Applications built on these systems include continuous predictions of quality, cost and machine failure, live recommendations for process optimization, and anomaly detection for real‑time alerting.

You will work with manufacturing data, including real‑time sensor readings and measurements, context from external systems, and outcomes such as quality, cost and yield. You will build systems and models that can learn from high‑dimensional and heterogeneous time‑series datasets, adapting to changing process conditions and both explicit and implicit feedback. Techniques you will use include deep learning, AI for time‑series, reinforcement learning and recommendation systems.

You will collaborate closely with Oden’s Product team to build these systems as foundations for our product, participating in end‑to‑end engineering from conceptualization to deployment. You will also work with our Customer Success teams to understand processes and validate results in production environments.

• Develop and maintain systems that manage the full ML lifecycle – from data preparation and model training to deployment and monitoring.
• Collaborate with data scientists to create and deploy ML/AI models that capture properties of complex manufacturing processes.
• Enable applications of these models for prediction, optimization, monitoring and alerting.
• Work with the engineering, product and customer success teams to implement and deploy solutions.
• Validate results in real‑world deployments with our customers.
• Generalize solutions and innovate to create next‑generation product features.
• Engage with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art.

• 3‑5 years professional experience as an ML Engineer/Data Engineer and advanced degrees (M.S. or Ph.D. in Machine Learning, Distributed Systems, Computer Science with an ML/AI focus, or related fields).
• Proficiency with distributed data processing systems such as Apache Beam/Dataflow and Apache Spark.
• Proficiency with ML workflows…