Machine Learning Engineer
Join a global technology company’s engineering team to build scalable products and application experiences that connect people worldwide. The role combines software engineering, machine learning, system architecture, and technical leadership.
Responsibilities
- Collaborate with product, design, operations, and infrastructure teams to build application experiences.
- Implement user interfaces using current programming techniques and technologies.
- Analyze and optimize code for quality, efficiency, and performance.
- Participate in code reviews and provide technical feedback to peers.
- Set team direction, lead major initiatives, and provide technical guidance and mentorship.
- Architect efficient, scalable systems for complex applications.
- Identify and resolve performance and scalability issues.
- Lead initiatives to reduce technical debt.
- Work across multiple programming languages and technologies.
- Own components, features, or systems with end-to-end technical understanding.
Requirements
- Experience using data and analysis to explain technical problems and develop detailed solutions.
- Experience driving organizational change and leading complex technical projects.
- Programming experience in a relevant language.
Nice to have
- Understanding of information retrieval, including indexing, querying, and ranking.
- Knowledge of natural language processing techniques such as text preprocessing, tokenization, and sentiment analysis.
- Experience with data structures, algorithms, graph theory, or optimization.
- Experience with TensorFlow, PyTorch, or Scikit-learn.
- Ability to integrate AI tools to improve workflows and measurable outcomes.
- Experience implementing responsible and ethical AI practices, including risk assessment and bias mitigation.
- Ongoing development of AI skills, including prompt engineering, context engineering, or agent orchestration.
Benefits
- Employee benefits are offered in addition to base compensation.
- Compensation may include bonus, equity, or sales incentives where applicable.