Process Modeling Engineer

Job Description

Reporting to the Director of Product, we are seeking a hands-on modeler to build and calibrate the equation-oriented mechanistic models and forward simulators at the heart of our physics engine, the foundation for physics-informed optimization in real operational settings. This role turns physical processes into rigorous, trustworthy Python models that our optimization and AI systems rely on. 

This is a builder role, not a research-only position. Success is measured by validated, production-grade models that run in real systems and produce customer value. 

Adjacent titles you may recognize this role by: Process Simulation Engineer, Computational Scientist / Computational Modeling Engineer. 

Roles and Responsibilities:  

• Building equation-oriented mechanistic models of unit processes including transport, separation, fouling accumulation, and cleaning/recovery dynamics, in Python 
• Developing forward dynamic simulators that predict process behaviour over operating cycles

• Calibrating and validating models against real operating data with our process engineers, and running parity checks against ground truth

• Contributing fast surrogate and hybrid (physics-informed) model components where full-order simulation is too slow for real-time use

• Supplying the simulation, residual, and validity outputs that our optimization layer consumes

• Performing parameter estimation and uncertainty quantification, and clearly communicating model assumptions, validity ranges, and confidence

• Participating in peer-reviews of model designs and related code

• Analyzing and resolving technical modelling problems

• Writing production-grade, well-tested, version-controlled Python that meets our engineering standards

Core Requirements

• Master’s degree, or 3+ years of relevant experience, with a strong foundation in mathematics and either mechanical or chemical engineering (or physics / applied mathematics with equivalent transport and thermodynamics grounding)

• Strong applied mathematics: differential equations, numerical methods, linear algebra, and optimization fundamentals

• Demonstrated ability to translate physical or chemical processes into governing equations and solve them numerically

• 3+ years Python software development for scientific computing (e.g., NumPy, SciPy)

• Hands-on experience building and calibrating simulation or process models against real data

• Comfortable with test-driven development and unit testing

• Comfortable working with real-world data

• Comfortable working with a globally-distributed team across multiple time zones

• Comfortable working independently and capable of self-direction

• Collaborative mindset and ability to work closely with domain experts and communicate technical information clearly

• Evidence-based attitude and ability to define problems and metrics and quantify results

Secondary Requirements

• Equation-oriented / acausal modeling experience with tools such as Pyomo, IDAES, WaterTAP, gPROMS, Aspen Custom Modeler, or CasADi 
• Experience with derivative-based solvers (e.g., IPOPT) and large sparse nonlinear or mixed-integer systems 
• Membrane process modeling (e.g., RO/UF): fouling, concentration polarization, flux-decline models, backwash or clean-in-place dynamics, or remaining-useful-life prognostics 
• Experience with physics-informed machine learning, surrogate modeling, or model-order reduction 
• Exposure to model predictive control (MPC) or reinforcement learning 
• Experience in an industrial process control setting 
• Familiarity with parameter estimation and uncertainty quantification 
• Experience with water or wastewater treatment processes is a plus, but our process engineers provide domain knowledge, so it is not expected Familiarity with AI-assisted coding (Cursor, Claude Code, Codex)

Education Requirements 

MS or above in Mechanical Engineering, Chemical Engineering, Applied Mathematics, Physics, or technical equivalent. Strong candidates with a BS and 3+ years of directly relevant modeling experience will be considered. 

Why Join Us

• Opportunity to contribute to sustainable water technology initiatives with global impact.

• Work with a diverse and innovative team driving digital transformation in the water industry.

• Competitive compensation, flexible work environment, and career growth opportunities. 

To apply

Here’s what to send to careers@theturingcompany.com: 

1. An email answering what excites you about this role.
2. A resume that focuses on your skills, results and attitude

Thank you!