ML Engineer — Speech Recognition & Production AI

Kiefer; Ohio; Remote; USD 120,000 - 180,000; Full time

Job summary

KIEFER is seeking an ML Engineer to improve automatic speech recognition for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance. The initial language focus is English.

Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs. You will collaborate with cross-functional teams to deploy robust ASR systems across our products.

Qualifications

• 3+ years of ML/research engineering with measurable results.
• Strong hands-on ASR or speech ML experience.
• Experience training/fine-tuning deep learning models using real-world audio data.
• Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing.
• Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills.
• Experience deploying, monitoring, and maintaining production ML systems.

Responsibilities

• Train, fine-tune, adapt, and evaluate speech recognition models based on product needs.
• Build representative benchmarks and regression tests for real meeting audio.
• Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology.
• Use error analysis to decide which model, data, or pipeline changes will improve transcription quality.
• Improve inference across accuracy, latency, throughput, reliability, and cost.
• Deploy and monitor model versions with Engineering, while working with Product to set quality goals and prioritize improvements.

Skills

ML engineering

ASR

Python

PyTorch

JAX

TensorFlow

Production ML

Evaluation (WER/CER)

Tools

PyTorch

JAX

TensorFlow

Job description

KIEFER is seeking an ML Engineer to improve automatic speech recognition for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance. The initial language focus is English.

Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs. You will collaborate with cross-functional teams to deploy robust ASR systems across our products.