Applied AI/ML Engineer for Production Optimization

Formulate Robotics; Mountain View, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Formulate Robotics in California is seeking an AI/ML Engineer to design the intelligence layer powering our prompt-to-matter platform. You will shape closed-loop manufacturing by connecting real-world production data to learning systems that continually improve formulation and process control.

You will ship production systems that interact with robotics, sensors, and distributed manufacturing nodes, building models, data pipelines, and evaluation experiments to drive measurable outcomes.

Qualifications

• 3+ years of experience building and deploying ML systems in production.
• Strong foundations in statistics, optimization, and ML fundamentals.
• Experience with reinforcement learning, Bayesian optimization, control systems, or experimental design is highly preferred.
• Strong programming skills (Python) and familiarity with modern ML frameworks.
• Comfortable working with messy real-world data from physical systems.

Responsibilities

• Design and deploy ML systems that optimize manufacturing processes and formulation performance.
• Build reinforcement learning or optimization loops for process control and parameter tuning.
• Develop models that connect formulation inputs to measurable real-world outcomes.
• Work with robotics and controls engineers to integrate ML systems into physical production environments.
• Design data pipelines for ingesting telemetry, quality signals, and experimental results.
• Run controlled experiments to improve yield, consistency, and product performance.
• Translate ambiguous business goals into measurable optimization objectives.
• Collaborate with Product and Engineering to deploy ML systems safely and reliably.
• Continuously improve model performance using real-world feedback loops.

Skills

Production ML

Python

Statistics

Optimization

Reinforcement Learning

Bayesian Optimization

Control Systems

Experiment Design

Data Pipelines

ML Frameworks

Systems Thinking

Ambiguity Handling

Job description

Formulate Robotics in California is seeking an AI/ML Engineer to design the intelligence layer powering our prompt-to-matter platform. You will shape closed-loop manufacturing by connecting real-world production data to learning systems that continually improve formulation and process control.

You will ship production systems that interact with robotics, sensors, and distributed manufacturing nodes, building models, data pipelines, and evaluation experiments to drive measurable outcomes.