Staff Machine Learning Engineer

Job summary

The role involves enhancing customer experience through AI-powered search solutions, collaborating with cross-functional teams to implement machine learning technologies at scale.

Qualifications

• Proficiency in programming languages such as Python or Ruby, with experience in relevant testing frameworks.
• Solid understanding of architecture and software design patterns for server-side and web applications.
• Collaborative mindset with a commitment to ongoing learning and development.
• Experience in building scalable and stable software applications.
• Ability to formulate hypotheses, conduct experiments, and analyze results to inform engineering decisions.
• Preferred: Experience in designing and optimizing search solutions using Machine Learning and Elasticsearch, managing cloud services with AWS, and working with event-driven architectures using Kafka.

Responsibilities

• Deliver AI capabilities using the latest LLM technologies.
• Collaborate with Product Management, ML Scientists, and Engineers to define feature scope and implementation strategies.
• Mentor junior team members and foster mutual learning.
• Support deployed services to ensure stability and reliability.
• Write clean and maintainable code to meet delivery commitments.
• Contribute to technical design discussions and best practices.

Skills

• Experience with machine learning frameworks, particularly PyTorch.
• Familiarity with AWS, RDS MySQL, Redis, S3, ElasticSearch, Kafka, and Snowflake.
• Proficient in using Docker and Kubernetes for deployment.
• Knowledge of infrastructure monitoring tools like Datadog and Sentry.

Education

• Relevant degree in Computer Science, Engineering, or a related field is typically expected.

Tools

• Python, Ruby, PyTorch, AWS, RDS MySQL, Redis, S3, ElasticSearch, Kafka, Snowflake, Docker, Kubernetes, Datadog, Sentry.