Senior Machine Learning Engineer

Svitla Systems is seeking a Senior Machine Learning Engineer to join a dynamic technology startup. This fully remote role focuses on developing advanced physics-informed models to solve complex degradation and health prediction challenges.

Key responsibilities

• Design and train physics-informed sequence models for health prediction by integrating physics-based loss terms with data-driven approaches.
• Develop fusion layers to combine stress features and dynamical signals into robust, defensible health scores.
• Execute calibration strategies for physics-informed components against available outcome labels.
• Maintain and extend end-to-end data pipelines, including feature audits, label engineering, and data-quality management.
• Document modeling choices and communicate technical insights to stakeholders and clients.

Requirements

• Proven experience in building and training physics-informed models, such as PINNs or physics-regularized neural networks.
• Strong expertise in time-series and sequence modeling using architectures like LSTMs, temporal CNNs, or transformers.
• Deep understanding of parameter calibration and inverse problems, including Bayesian calibration or optimization-based methods.
• Expert knowledge of the Python scientific stack, including PyTorch, JAX, Pandas, and NumPy.
• Ability to reason about physics and reliability equations governing system degradation.

What we offer

• Engagement in challenging projects based on advanced technologies.
• Regular performance appraisals to support your professional growth.
• Generous time-off policy including vacation, holidays, and sick leave.
• Personalized learning programs and access to tech webinars.
• A supportive, collaborative community of professionals.