Staff Machine Learning Engineer - VoIP Infrastructure
Galliot LLC
San Francisco, CA, United States
27 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$160,000.0 - $220,000.0
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
VoIP
Python (Programming Language)
Machine Learning
Software Engineering
Internet Protocol Telephony
Reliability of Systems
Information Technology
Low Latency
Machine Learning Operations
Job description
- Design and implement machine learning solutions for VoIP systems
- Develop models for voice analytics and communication optimization
- Improve call quality, latency, and system performance
- Collaborate with infrastructure and software engineering teams
- Deploy, monitor, and maintain production ML systems
- Evaluate model performance and recommend technical improvements
Requirements
- Bachelor’s or master’s degree in Computer Science, Machine Learning, or a related field, or equivalent experience
- Extensive experience in machine learning and software engineering
- Strong Python programming and data analysis skills
- Knowledge of VoIP, SIP, RTP, or telecommunications systems
- Experience deploying scalable production services
- Strong problem-solving and communication skills
Benefits & conditions
- Competitive salary
- Paid time off
- Health benefits, subject to eligibility
- Professional development opportunities, * Dental insurance
- Employee assistance program
- Flexible schedule
- Parental leave
- Relocation assistance
- Retirement plan
- Tuition reimbursement
About the company
Galliot is the company named in the supplied listing. Its official business activities and connection to VoIP infrastructure should be confirmed before publishing.
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