Senior ML Engineer, Voice AI — Real-Time Inference at Scale
Together AI
San Francisco (CA)
On-site
USD 200,000 - 260,000
Full time
14 days+
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Benefits offered by this job
Competitive salary
Startup equity
Health insurance
Other competitive benefits
Job summary
An innovative AI company in San Francisco is seeking a Senior Machine Learning Engineer for Voice AI to optimize voice model inference and productionize cutting-edge voice applications. The ideal candidate will have over 5 years of ML engineering experience, strong Python and PyTorch skills, and hands-on expertise with model serving engines. This role offers competitive compensation, equity, and the opportunity to be part of a high-impact team in a fast-growing product space.
Qualifications
5+ years of experience in ML engineering with a focus on model serving and optimization.
Hands-on experience with LLM serving engines.
Strong proficiency in Python and PyTorch.
Responsibilities
Optimize inference performance for voice models targeting best latency and throughput.
Productionize voice models on serverless and dedicated endpoints.
Build and maintain a voice model evaluation framework.
Skills
Model serving and inference optimization
Python
PyTorch
GPU profiling
Audio signal processing
Education
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
Tools
LLM serving engines (vLLM, SGLang, TensorRT-LLM)
CUDA
Job description
An innovative AI company in San Francisco is seeking a Senior Machine Learning Engineer for Voice AI to optimize voice model inference and productionize cutting-edge voice applications. The ideal candidate will have over 5 years of ML engineering experience, strong Python and PyTorch skills, and hands-on expertise with model serving engines. This role offers competitive compensation, equity, and the opportunity to be part of a high-impact team in a fast-growing product space.