Senior Machine Learning Engineer
Rhombus Power•Palo Alto, CA
•Onsite
About The Position
Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products— Ambient AI and Guardian— are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most. Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.
Requirements
- Strong foundation in Computer Science, including data structures, Algorithms, and software engineering best practices.
- Experience with Statistics and Pattern Recognition for building, evaluating, and interpreting predictive models.
- Hands-on expertise with Deep Neural Networks, Language Models and modern machine learning frameworks (e.g., TensorFlow, PyTorch, or similar).
- Proficiency in one or more programming languages commonly used in ML (such as Python, Java, or C++), and experience with version control tools.
- Familiarity with end-to-end ML workflows, including data preprocessing, feature engineering, model training, validation, and deployment.
- Bachelor’s or higher degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- Ability to work on-site in Palo Alto, CA, collaborate effectively in cross-functional teams, and communicate technical concepts clearly to diverse stakeholders.
Nice To Haves
- Experience with cloud platforms, ML ops tools, or large-scale data processing (e.g., Kubernetes, Docker, Spark, or similar) is a plus.
- Background in applied ML for high-impact or security-focused domains, or experience working with government or enterprise customers, is beneficial.
Responsibilities
- Design, implement, and deploy machine learning models that power predictive decision support across diverse problem sets.
- Explore and preprocess complex datasets.
- Select and train multi-modal deep learning and language models.
- Focus specifically on large-scale optimization across different hardware configurations including edge.
- Collaborate closely with data scientists, software engineers, and domain experts to translate operational needs into production-ready ML solutions.
- Contribute to code reviews, experiment tracking, model evaluation, and continuous improvement of ML pipelines and infrastructure.
Benefits
- Full medical, dental, vision coverage for employee and dependents
- 401k matching program
- PTO and Holidays
- Bonus and other incentive programs
- Access to mental health program
- Access to Flexible Spending Accounts for Health Care, Dependent and Commuter
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What This Job Offers
Job Type
Full-time
Career Level
Senior
