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Senior Machine Learning Engineer

External
rhombuspower logoRhombuspower · Palo Alto, CA
Full-timeOn-site1w ago
Deep LearningDockerFeature EngineeringJavaKubernetesMachine Learning
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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.
  • 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.

Benefits

Full medical, dental, vision coverage for employee and dependents401k matching programPTO and HolidaysBonus and other incentive programsAccess to mental health programAccess to Flexible Spending Accounts for Health Care, Dependent and CommuterAbout RhombusRhombus 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.Health insuranceDental insuranceVision insurance401(k)Paid time offFlexible schedulePerformance bonus

Additional Information

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. Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here: https://www.youtube.com/watch?v=3PxY6su1Q-Q https://www.youtube.com/@rhombuspower8558/videos https://www.youtube.com/watch?v=Iby5WVNfQiI See the following articles to learn more about what we do: https://www.rhombuspower.com/news-and-media Job Description 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.

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