Senior Software Engineer - Machine Learning

Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

Your Mission

UiPath Inc. is seeking a highly skilled and experienced Senior Engineer with a background in Machine Learning fundamentals to join our Process Mining and Task Mining teams, part of the rapidly growing Discovery group. This role focuses on designing and implementing advanced machine learning solutions to power features such as anomaly detection, predictive analytics, and actionable insights for business process optimization. The ideal candidate will have a strong background in machine learning and software engineering, with a passion for tackling complex challenges in an innovative and collaborative environment.

What You'll Do At UiPath

• Develop, deploy, and maintain machine learning models and infrastructure to address key challenges in process and task mining, including anomaly detection, event prediction, and pattern recognition.
• Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to define and deliver end-to-end machine learning solutions tailored to process automation needs.
• Provide technical leadership, mentorship, and code reviews to the team, fostering a culture of excellence, innovation, and knowledge sharing.
• Build scalable systems that handle high-volume data pipelines in cloud environments to support real-time and batch processing for mining solutions.
• Stay current with industry trends and research in machine learning, particularly in areas relevant to process mining, task mining, anomaly detection, and forecasting.
• Advocate for and implement best practices in MLOps, including CI/CD pipelines, model versioning, deployment, and monitoring.
• Ensure the systems adhere to security, privacy, and compliance requirements while maintaining top-notch performance.
  
  

What You'll Bring To The Team

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Strong fundamentals in data structures, algorithms, and system design.
• 5+ years of software engineering experience , including large-scale distributed systems.
• 3+ years of hands-on experience in machine learning , with expertise in frameworks like TensorFlow, PyTorch, Scikit-learn, and libraries like Pandas, NumPy.
• Proficiency in cloud platforms such as AWS, Azure, or GCP, with experience in building cloud-based machine learning solutions.
• Familiarity with anomaly detection techniques, predictive modeling, and statistical methods.
• Solid understanding of MLOps principles, including CI/CD, model lifecycle management, monitoring, and retraining.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions to complex challenges.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across diverse teams.
• Experience in process mining or task mining domains is a plus.
  
  

Maybe you don’t tick all the boxes above— but still think you’d be great for the job? Go ahead, apply anyway. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.

Pay Transparency

The anticipated base salary range for this position is between $162,400 and $243,550. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority as compared to others doing substantially similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis.