Senior ML Engineer

$200,200 - $289,900/Yr

UiPath - Bellevue, WA

posted 11 days ago

Full-time - Senior
Remote - Bellevue, WA
Publishing Industries

About the position

UiPath Inc. is seeking a highly skilled and experienced Senior Software Engineer to join our rapidly growing AI & Research group. This role is crucial for designing, implementing, and optimizing cutting-edge machine learning systems, while also providing technical leadership and mentorship to a team of software engineers. The ideal candidate will have a strong background in software engineering and machine learning, along with a passion for staying updated with the latest advances in these fields.

Responsibilities

  • Develop and implement machine learning infrastructure for advanced machine learning models and systems for various business applications, ensuring high performance and scalability.
  • Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to define requirements and deliver end-to-end machine learning solutions.
  • Provide technical leadership and mentorship to a team of software engineers, fostering a culture of collaboration, innovation, and continuous learning.
  • Drive the adoption of best practices for software development, testing, and deployment, as well as MLOps and Cloud computing principles.
  • Stay current with industry trends, emerging technologies, and relevant research in the field of machine learning.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8+ years of software engineering experience.
  • 3+ years of experience in machine learning, including experience with popular machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Pandas, Numpy).
  • Strong knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and experience building cloud-based machine learning systems.
  • Familiarity with MLOps principles and practices, including CI/CD, model versioning, monitoring, and deployment.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.

Benefits

  • Flexible work hours and remote work options.
  • Diversity and inclusion initiatives.
  • Reasonable accommodations for candidates on request.
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