Physics-Informed Machine Learning Engineer

Svitla Systems Inc. is looking for a Physics-Informed Machine Learning Engineer for a full-time position in Ukraine. The team is building a Physics-Informed Foundational Model to understand GPU and compute health. You'll build the model and the fusion layer, working as part of a small technical team.

• Build the temporal model: design and train a physics-informed sequence model (e.g., LSTM or similar temporal architecture) for degradation and health prediction, incorporating a physics-based loss term alongside the data-driven loss.
• Design the fusion layer: define how physics-based stress features, dynamical/mathematical features, and other signals combine into model inputs and a defensible health score, replacing today's simple hand-set weighting.
• Calibrate the physics-informed components: the stress-proxy parameters are currently engineering priors. You'll help design and execute calibration strategies against whatever outcome labels are available.
• Harden the feature pipeline: the pipeline is Python/Pandas over time-aligned multi-sensor telemetry; you'll extend and maintain it (feature audits, label engineering, data-quality gates) as modeling needs dictate.
• Write clear analysis docs and defend modeling choices to technical stakeholders and clients.

• Experience in building and training physics-informed models — a physics-based term in the loss function of a real project (PINN, physics-regularized NN, or equivalent).
• Strong understanding of time-series/sequence modeling (LSTM, temporal CNN, transformers, or state-space models) on sensor or telemetry data.
• Understanding of parameter calibration / inverse problem: fitting mechanistic model parameters to noisy observational data (Bayesian calibration, MLE, or optimization-based).
• Expert knowledge of Python scientific stack (Pandas, NumPy, scikit-learn, PyTorch or JAX) and be comfortable owning a data pipeline end to end, including data-quality investigation.
• Expertise in reading and reasoning about physics/reliability equations governing degradation; you don't need to derive them, but they can't be a black box.

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or in one of our development offices.
• Comprehensive medical insurance, including dental and massages.
• Personalized learning program tailored to your interests and skill development.
• Sport reimbursement program for onsite and online activities.
• Bonuses for recommendations of new employees.
• Bonuses for article writing, public talks, and other activities.
• 20 vacation days, 10 national holidays and 5 sick leaves.
• Maternity leave policy and family days off.
• Free tech webinars and meetups organized by Svitla.
• Welcome and anniversary presents, gifts for children, and more.
• Regular corporate events and meetups.
• Awesome team, friendly and supportive community!