Senior Machine Learning Engineer

This is a full-time, on-site Machine Learning Engineer role based in Palo Alto, CA. The Machine Learning Engineer will design, implement, and deploy machine learning models that power predictive decision support across diverse problem sets. Daily responsibilities include exploring and preprocessing complex datasets, selecting and training multi-modal deep learning and language models, and focusing specifically on large-scale optimization across different hardware configurations including edge. The role involves collaborating closely with data scientists, software engineers, and domain experts to translate operational needs into production-ready ML solutions. The Machine Learning Engineer will also contribute to code reviews, experiment tracking, model evaluation, and continuous improvement of ML pipelines and infrastructure.

• 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.
• 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.

Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto.  We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. 

Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley.

Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.