Sr. Machine Learning Engineer (Speech) - AI at Level AI

Noida, Uttar Pradesh, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

2+ years of experience and a bachelor's degree in Computer Science or a related field from a tier-1 engineering institute
Experience deploying Deep Learning based models for speech recognition pipelines
Awareness of state-of-the-art research in speech recognition and signal processing
Algorithm and model development experience for large-scale applications
Strong knowledge of Machine Learning fundamentals
Experience with Python and Pytorch

Responsibilities

Work on problems arising in speech-to-text pipelines, such as transcription, diarization, voice activity detection
Train, deploy and maintain scalable automatic speech recognition pipelines to power Level AI’s ASR engine
Keep abreast of SOTA techniques in ASR and exchange knowledge with colleagues
Work with other team members to develop the architecture & design of systems
Ability to independently conduct experiments with model architectures, training schemes, and approaches proposed in ASR literature
Work in an agile environment to deliver high-quality products

Skills

ASR

Automatic Speech Recognition

Speech-to-Text

Transcription

Diarization

Voice Activity Detection

Deep Learning

Model Training

Model Deployment

Scalable Pipelines

Level AI

Enhances customer experience through intelligent automation

About Level AI

Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$72.4MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Remote Work Options

Parental Leave

401(k) Retirement Plan

Risks

Emerging competition from other AI platforms threatens Level AI's market share.

Rapid AI advancements could render Level AI's offerings obsolete without continuous innovation.

Data privacy regulations may impact operations, especially with new monitoring features.

Differentiation

Level AI integrates human and machine intelligence for enhanced customer experience.

The company eliminates data silos, improving decision-making and customer interactions.

Level AI's subscription model offers steady revenue and customer retention.

Upsides

Increased demand for AI-driven customer service solutions boosts Level AI's market potential.

Growing interest in real-time conversational intelligence tools enhances call center performance.

Rising adoption of generative AI technologies automates tasks and personalizes interactions.

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