Staff Machine Learning Engineer - VoIP Infrastructure

Galliot

San Francisco (CA)

On-site

USD 160,000 - 220,000

Full time

3 days ago

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Benefits offered by this job

Competitive salary

Paid time off

Health benefits

Dental insurance

Employee assistance program

Flexible schedule

Parental leave

Relocation assistance

Retirement plan

Tuition reimbursement

Job summary

Galliot is hiring a Staff Machine Learning Engineer to build intelligent ML capabilities for voice communication infrastructure in an onsite environment in San Francisco.

The ideal candidate will design and deploy ML solutions for VoIP systems, iterate models for voice analytics and optimization, and work closely with infrastructure and software teams to deliver scalable production services.

Qualifications

Bachelor’s or Master’s degree in Computer Science, ML or related field or equivalent experience
Extensive experience across machine learning and software engineering
Strong Python programming and data analysis skills
Knowledge of VoIP protocols, including SIP and RTP
Experience deploying scalable production services
Strong problem-solving abilities and communication skills

Responsibilities

Design and implement ML solutions tailored to VoIP systems
Develop and iterate models for voice analytics and communication optimization
Drive improvements in call quality, latency, and overall system performance
Collaborate with infrastructure and software engineering teams to integrate ML with production systems
Deploy, monitor, and maintain production ML systems
Evaluate model performance and recommend technical improvements based on results

Skills

Python

data analysis

VoIP

SIP

RTP

problem solving

communication

software engineering

machine learning

Education

Bachelor's or Master's in Computer Science or Machine Learning

Tools

Python

SIP

RTP

Job description

Galliot is hiring a Staff Machine Learning Engineer to build intelligent machine learning capabilities for voice communication infrastructure in a hands-on, onsite environment.

Responsibilities

Design and implement machine learning solutions tailored to VoIP systems
Develop and iterate models for voice analytics and communication optimization
Drive improvements in call quality, latency, and overall system performance
Collaborate with infrastructure and software engineering teams to integrate ML with production systems
Deploy, monitor, and maintain production machine learning systems
Evaluate model performance and recommend technical improvements based on results

Requirements

Bachelor’s or master’s degree in Computer Science, Machine Learning, or a related field, or equivalent experience
Extensive experience across machine learning and software engineering
Strong Python programming and data analysis skills
Knowledge of VoIP and telecommunications protocols, including SIP and RTP
Experience deploying scalable production services
Strong problem-solving abilities and communication skills