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Open 6 months, first seen by us 184 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and build agentic AI expert systems for predictive, autonomous manufacturing decisions
Develop multiagent AI systems that plan, decide, and act for operators, equipment, or lines
Use simulation and digital twins to test and refine agent strategies before deployment
Integrate predictive models for demand, machine health, cycle time, and yield into expert systems
Evaluate solutions on throughput, WIP, cycle time, OEE, and cost, and iterate
You design and build agentic AI–driven expert systems that enable predictive and autonomous decision making in manufacturing.
Develop agent based and multiagent AI systems that can plan, decide, and act on behalf of operators, equipment, or production lines.
Use simulation and digital twins to model production flows, equipment behavior, and system constraints, and to safely test and refine agent strategies before deployment.
Integrate predictive models (e.g. for demand, machine health, cycle time, yield) into expert systems to support proactive and prescriptive decisions.
Evaluate agentic AI solutions using KPIs such as throughput, WIP, cycle time, OEE, and cost, and iteratively improve performance.
Open 6 monthsWe first saw this posting 184 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 184
Up longer than most. Similar jobs usually come down between day 7 and day 73.
Well past STMicroelectronics’s usual: its jobs come down by about day 19.
From 4,797 similar postings that came down, and 15 of STMicroelectronics’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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YOUR SKILLS & EXPERIENCES 1. Bachelor or master’s in computer science, AI, Data Science, Operations Research, Industrial/Electrical Engineering, or similar. 2. Strong foundation in AI and machine learning, with exposure to at least one of: 1. Reinforcement learning / multiagent RL 2. Planning and decision making under uncertainty 3. Rule based or knowledge-based systems 3. Experience with Python and AI/ML ecosystems (e.g. PyTorch, TensorFlow, scikitlearn, RL libraries). 4. Familiarity with simulation and modeling of manufacturing or logistics systems (e.g. discrete event simulation, agent-based simulation, digital twins). 5. Understanding of operations research / optimization (e.g. scheduling, routing, resource allocation) is a strong plus. 6. Comfortable working with real operational and equipment data, including cleaning, feature engineering, and validation. 7. Strong analytical and conceptual skills, able to formalize complex shopfloor logic into rules, constraints, and agent objectives. 8. Collaborative, curious, and proactive, able to work with cross functional teams and incorporate domain expert feedback into AI systems. 9. English business proficiency, both written and spoken, for documentation, stakeholder discussions, and technical presentations. ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.
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New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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