Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for various business applications • Conduct research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI and machine learning trends • Ensure the quality and performance of AI systems through testing and validation EXPERIENCE AND KNOWLEDGE • Bachelor’s degree in related field and 2–5 years relevant experience • Proven experience in developing and deploying machine learning models and algorithms • Strong knowledge of statistics, optimization, probability theory, and experimental methodologies • Proficiency in programming languages such as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • Familiarity with cloud platforms and scalable computing resources • Strong analytical, problem-solving, and collaboration skills. From company-wide volunteer days to events like our Q2 Homecoming Week—featuring learning, community service, and culture-building experiences—we create opportunities to connect, grow, and make an impact.