Machine Learning Engineer / Voice-centric AI

Machine Learning Engineer / Voice-centric AI

We’re looking for an entrepreneurial Senior Machine Learning Engineer with experience taking voice-centric AI systems (TTS, STT, LLM-driven dialog) from prototype to large-scale production. You’ll own the full ML lifecycle—research, data pipelines, training, evaluation, deployment, and ongoing optimization—powering sub-second, natural voice conversations at scale.

This role is ideal for someone passionate about pushing the limits of conversational AI : creating highly optimized, domain-specific models that are faster, leaner, and more cost-efficient than general-purpose solutions. You’ll collaborate closely with product, infrastructure, and compliance teams, while setting the technical bar for model excellence and ML best practices.

Required Skills & Experience

• Experience : 7+ years building production ML systems, including 2+ years in speech or conversational AI. Proven track record deploying large-scale voice AI or LLM products.
• Fine-tuning & compression (LoRA, QLoRA, quantization, pruning, distillation).
• Speech (ASR : Whisper, NeMo, Kaldi; TTS : Tacotron, FastSpeech, VITS).
• LLMs & dialogue (GPT-class, RAG, LangGraph, LangChain, MCP).
• Strong in Python; bonus for TypeScript / Node / Java.
• Infra & Ops (Kubernetes, Helm, Terraform, MLflow / SageMaker).
• Data systems (Kafka, Redis, Postgres, Snowflake).
• Streaming protocols (gRPC, WebSockets, HTTP / 2, WebRTC).
• Security & compliance (HIPAA, SOC2, HITRUST).
• Product-oriented, entrepreneurial, strong problem solver, effective communicator, and technical leader.

Desired Skills & Experience

The Offer

You Will Receive The Following Benefits

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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