Distinguished Engineer (AI)

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

As a Distinguished AI Engineer, you will lead initiatives at the intersection of cutting-edge research and product innovation, pushing the boundaries of machine learning applications. You will:

• Advance machine learning models, optimizing for performance and scalability, and drive their deployment into production.
• Shape the technical roadmap and mentor a talented team of scientists and engineers.
• Translate machine learning theory into scalable, efficient, and reliable solutions addressing complex problems at scale.

What You'll Do At UiPath

• Lead and innovate in the development and deployment of machine learning models to tackle complex and large-scale problems.
• Design, execute, and oversee large-scale experiments, demonstrating experimental intuition and technical expertise.
• Collaborate with cross-functional teams to scale model training and ensure smooth integration of new models into production.
• Stay current with the latest research in machine learning and strategically incorporate advancements into product solutions.
• Ensure machine learning solutions are accessible and user-friendly, contributing to interface design for model interaction.
• Conduct performance benchmarks and evaluate the impact of research-based optimizations on real-world problems.
• Mentor and guide applied scientists, fostering a culture of continuous learning and innovation.
• Communicate complex technical concepts effectively across the organization, influencing both technical and non-technical stakeholders.

What You'll Bring To The Team

• Ph.D. or Master’s degree in Machine Learning, Computer Science, or a related field.
• Extensive experience (10+ years) in applied machine learning, with a proven ability to translate academic research into practical applications.
• Expertise in developing models using modern ML libraries (e.g., PyTorch, TensorFlow, JAX).
• Proficiency in multiple programming languages, notably Python and at least one other (e.g., Rust, C++).
• Deep understanding of machine learning architectures (Transformers and other modern models) and experience in scaling them to production-level systems.
• Strong foundation in linear algebra, probability, statistics, and algorithms.
• Knowledge of GNU/Linux systems with experience in optimizing large-scale distributed systems for machine learning workloads.

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 work hours and location. Depending on the business and role, the mix of hybrid, office-based, and remote workers will vary. Applications are assessed on a rolling basis with no fixed deadline. The application window may change based on the volume of applications received or may close immediately when a qualified candidate is selected.

We value diverse backgrounds, experiences, and ideas. We pride ourselves on our inclusive workplace that provides equal opportunities to all, regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and veteran status, or other protected classes. Additionally, UiPath provides reasonable accommodations for candidates upon 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 $260,500 and $370,750. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority compared to others doing similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis.