ML Engineer at Rilla

New York, New York, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Software, CommerceIndustries

Requirements

Experience building and deploying ML systems in production
Familiarity with owning the model lifecycle from inception to production
Comfort working directly with customers to understand their needs and solve real-world problems
Excitement about building an AI product for an industry untouched by modern software
Excitement about constantly talking to and visiting customers in the field
Willingness to work ~70 hrs/week in person with ambitious people in NYC
Commitment to attempting to build a generational company and the intensity required

Responsibilities

Architect and ship AI-powered systems for voice-first interfaces, enabling natural speech commands
Build search engines to uncover business-critical insights from unstructured voice data
Develop audio intelligence pipelines for messy, real-world conversations
Shape the foundations of the AI stack and drive invention of new techniques, tooling, and models
Work across the full AI lifecycle—from data acquisition to real-time inference and user-facing chat interfaces

Skills

Key technologies and capabilities for this role

Machine LearningAudio ProcessingVoice AISpeech RecognitionNatural Language ProcessingReal-time InferenceAI PipelinesDeep LearningData AcquisitionModel Development

Questions & Answers

Common questions about this position

What technologies are used in this ML Engineer role?

The team works primarily in Python and TypeScript, with FastAPI for API development, AI/ML technologies including PyTorch, OpenAI APIs, Baseten, and LiteLLM, plus AWS, LiveKit, PostgreSQL, Redis, and S3.

What values does Rilla prioritize in team members?

Rilla values an infinite learner who is relentless in curiosity, a customer obsessive focused on delighting customers, a winning attitude with extreme accountability, extreme empathy for non-tech customers, and being unafraid of failure.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of experience makes a strong candidate for this ML Engineer role?

Strong candidates are obsessive about their craft, think like a founder, want to be on the frontier of voice and offline AI, and have experience across the full AI lifecycle from data acquisition to real-time inference.

Rilla

Speech analytics for outside sales teams

About Rilla

Rilla Voice offers a speech analytics service designed specifically for outside sales teams. Its main product is a virtual ridealong tool that records, transcribes, and summarizes sales conversations, providing insights that help sales managers coach their representatives more effectively. This tool allows managers to analyze conversations and improve sales performance without the need for in-person ridealongs, making them significantly more efficient—reportedly 8 times faster and 20 times more effective. Rilla Voice differentiates itself from competitors by focusing on the unique needs of outside sales teams and delivering measurable improvements in sales metrics, such as increased average ticket prices and consistent week-over-week growth for its clients. The goal of Rilla Voice is to enhance the performance of sales teams through better coaching and analytics, ultimately driving higher sales for businesses.

New York City, New YorkHeadquarters

2019Year Founded

$3.8MTotal Funding

SEEDCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

51-200Employees