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Machine Learning Engineer

focusedAustin, TXSoftware
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
21 Sept 2026
Status
Open · checked 7d ago

About this role

Focused Energy is seeking a Machine Learning Engineer based in Austin, TX to embed data-driven intelligence into digital twin architectures for clean energy systems. This position is well-suited for a computational specialist with advanced academic training who wants to collaborate with physicists and optical engineers on laser-driven fusion technology.

Role Overview

The Machine Learning Engineer works within software engineering and digital twin environments to connect machine learning with computational physics. The professional in this role designs and deploys models that enhance multiphysics simulation environments, supporting high-energy laser systems, target injection and tracking, target manufacturing, and fusion chambers.

Key Responsibilities

Design and deploy surrogate and reduced-order models to replace or accelerate high-fidelity multiphysics simulations.
Develop physics-informed machine learning and neural networks to integrate physical constraints into model architectures.
Build and maintain pipelines for training, validation, uncertainty quantification, and continuous model refinement.
Implement active learning and Bayesian optimization workflows to guide design space exploration.
Integrate trained models into the digital twin framework to interface with high-performance computing simulation outputs and sensor data.
Develop anomaly detection and predictive diagnostics models for laser subsystem health monitoring.
Apply reinforcement learning and Bayesian control approaches for autonomous parameter optimization.
Collaborate across disciplines with digital twin architects, systems engineers, and simulation scientists.
Establish practices for model versioning, reproducibility, testing, and documentation.

Requirements

Master's or PhD in Machine Learning, Computational Physics, Applied Mathematics, Data Science, Computer Science, or a related field.
Proven experience building, training, and deploying models for complex physical systems with a strong command of deep learning and probabilistic models.
Expert-level Python skills with familiarity in high-performance computing environments.
Fluency in working with partial differential equation simulation outputs, time-series sensor data, and high-dimensional parameter spaces.
Hands-on experience with Gaussian processes, neural network surrogates, or reduced-order models.
Ability to communicate model behavior, confidence intervals, and limitations to non-specialists.
Strong cross-functional team skills within an interdisciplinary setting.

Nice to Have

Experience with physics-informed neural networks or neural operators applied to physical systems.
Background in laser physics, plasma physics, or high-energy-density science.
Familiarity with digital twin platforms, multidisciplinary design optimization, and reinforcement learning.
Experience with MLOps tooling in a scientific computing context.

Skills and Tools

Python
C++
Fortran
PyTorch
TensorFlow
JAX
COMSOL
ANSYS
MPI and OpenMP
Gaussian processes
Reduced-order models

Salary and Benefits

Competitive salary and stock options
Medical, dental, and vision insurance effective on the first day of employment
Unlimited PTO
401(k) plan with employer match up to 4%ีน- State-of-the-art Windows or Apple laptops with peripherals
Office snacks, drinks, and regular team events

About the Company

Focused Energy builds clean energy solutions through laser-driven inertial fusion. Backed by a $240 million Series A funding round, the company operates across Germany and the United States, bringing together scientific and engineering teams to unlock commercial fusion power.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PythonC++FortranPyTorchTensorFlowJAXCOMSOLANSYSMPIOpenMPMLOpsReinforcement LearningDeep LearningMachine Learning

Questions candidates ask

Where is this job located?

This position is located in Austin, TX.

What educational background is required?

Candidates must hold a Master's or PhD in Machine Learning, Computational Physics, Applied Mathematics, Data Science, Computer Science, or a closely related field.

What programming languages are needed?

Expert-level Python is required, while proficiency in C++ or Fortran is considered a plus.

What benefits are offered with this role?

Benefits include competitive salary, stock options, medical, dental, and vision plans starting on day one, unlimited PTO, a 401(k) with up to 4% match, equipment, and office snacks.

How should I apply?

Candidates should apply on the official company careers page.

Ready to apply?

The application is on the official focused careers page.

Apply on company site