Senior ML/AI Engineer

 Say hello to opportunities.

It’s not every day that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers. 

RingSense AI is our proprietary AI solution. It’s designed to fit the business needs of our customers, orchestrated to be accurate and precise, and built on the same open platform principles we apply to our core software solutions. 
 

As a Senior ML/AI Engineer, you will lead the design, implementation, and optimization of scalable AI/ML solutions. Your versatility, leadership, and passion for emerging ML/AI technologies will drive innovation across diverse business domains.

Responsibilities:

• Collaborate with cross-functional teams (Product, Data, Engineering) to develop and implement AI/ML solutions.

• Establish and promote ML Operations and lifecycle management best practices.

• Design, build, and manage scalable ML infrastructure.

• Develop, validate, deploy, and monitor ML models and applications.

• Create and maintain optimized data pipelines.

• Utilize programming languages (Python, R, Scala, Java) and adopt CI/CD best practices, including automation and monitoring.

• Implement state-of-the-art Generative AI models and workflows (ASR, LLM, TTS, RAG, & Search).

• Stay up to date with emerging ML/AI technologies, frameworks, and best practices.

• Scale and support large distributed systems serving millions of customers daily.

• Maintain and extend RingCentral’s internal AI platform.

• Build Agentic AI products to drive business value.

• Ability to bring thought leadership to AI products & services.

Qualifications / Requirements:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

• 5+ years of software engineering experience, with strong expertise in data structures and algorithms.

• 3+ years of experience in ML model development, validation, deployment, and infrastructure.

• Proficiency in ML frameworks (TensorFlow, PyTorch), Generative AI, deep learning, NLP, and statistical methods.

• Extensive knowledge of cloud platforms including GCP (Vertex AI, BQML, Duet AI), AWS (Bedrock, Elasticsearch, SageMaker, EC2), and Azure ML.

• Solid foundation in data structures, algorithms, software architecture, and software engineering principles.

• Solid understanding of MLOps, ML lifecycle management, CI/CD practices, Docker, and related technologies.

• Demonstrated success collaborating within agile, cross-functional teams.

What we offer:  

• Comprehensive medical, dental, vision, disability, life insurance

• Health Savings Account (HSA), Flexible Spending Account (FSAs) and Commuter benefits

• 401K match and ESPP

• Paid time off and paid sick leave

• Paid parental and pregnancy leave

• Family-forming benefits (IVF, Preservation, Adoption etc.)

• Emergency backup care (Child/Adult/Pets)

• Employee Assistance Program (EAP) with counseling sessions available 24/7

• Free legal services that provide legal advice, document creation and estate planning

• Employee bonus referral program

• Student loan refinancing assistance

• Employee perks and discounts program

RingCentral’s Engineering team works on high-complexity projects that set the standard for performance and reliability at massive scale. What kind of scale? Millions of users today and hundreds of millions tomorrow. This is  your chance to help imagine, develop and deliver products that raise the technological bar, and power human connections. If you’re a talented, ambitious, creative thinker, RingCentral is the perfect environment to join a wo