Senior AI/ML Engineer: Architect Scalable Systems

Audible; Newark (NJ); On-site; USD 158,000 - 214,000; Full time

Job summary

Audible in Newark, NJ is seeking a Senior AI/ML Engineer to design and implement advanced machine learning solutions that transform audio storytelling. You will join the AI/ML Engineering team leading scalable systems and cutting-edge research.

The role focuses on building robust ML infrastructure, developing end-to-end AI solutions, and mentoring engineers while collaborating with cross-functional teams to align technical work with business goals.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems.
• Experience programming with at least one software programming language.

Responsibilities

• Design and develop advanced ML architectures and intelligent systems.
• Create robust, scalable ML infrastructure and pipelines.
• Develop end-to-end AI solutions addressing complex technical and business challenges.
• Architect machine learning models with a focus on performance, scalability, and efficiency.
• Conduct advanced research and prototype innovative AI/ML approaches.
• Collaborate cross-functionally to align technical solutions with strategic objectives.
• Mentor junior engineers and contribute to technical knowledge sharing.
• Lead technical design reviews and provide architectural guidance.

Skills

Professional software development

Design & architecture

Programming language

Education

Bachelor's degree in CS or equivalent

Job description

Audible in Newark, NJ is seeking a Senior AI/ML Engineer to design and implement advanced machine learning solutions that transform audio storytelling. You will join the AI/ML Engineering team leading scalable systems and cutting-edge research.

The role focuses on building robust ML infrastructure, developing end-to-end AI solutions, and mentoring engineers while collaborating with cross-functional teams to align technical work with business goals.