LeoTech · 13 hours ago
Transcription Software Engineer
United States
Full-time
Remote
Senior Level
$140K/yr - $170K/yr
5+ years expLeoTech is passionate about building software that solves real-world problems in the Public Safety sector. They are seeking a highly skilled Transcription Engineer to advance transcription quality across workflows, integrating third-party services and improving audio intelligence extraction.
HardwareInformation TechnologyIT ManagementSoftware
Responsibilities
Lead efforts to improve transcription quality by evaluating, testing, and fine-tuning ASR models (both commercial APIs and open-source)
Build pipelines that handle speaker identification, diarization, multi-language support, and noise-robust transcription in difficult audio environments
Develop and maintain services that integrate multiple ASR providers, ensuring resilience and flexibility across transcription workflows
Collaborate with platform engineers to ensure seamless ingestion and persistence of transcription outputs in data pipelines
Use data wrangling and exploratory analysis to deeply understand transcription accuracy and error patterns
Explore and apply audio engineering techniques (denoising, voice isolation, codecs, signal processing) to improve speech clarity
Deploy and maintain transcription-related services with basic DevOps practices, ensuring scalability and reliability
Participate in all stages of the development lifecycle: ideation, design, prototyping, implementation, deployment, and iteration
Qualification
Required
Strong software engineering background in fields such as Computer Science, Software Engineering, or related disciplines
5+ years of professional development experience, with significant focus on speech processing, NLP, or transcription systems
Proficiency in Python and comfort with system-level programming when needed
Experience with ASR frameworks (e.g., Whisper, Kaldi, Vosk, NVIDIA NeMo, or similar)
Familiarity with audio engineering tools (e.g., ffmpeg, Sox) and denoising/voice enhancement techniques
Knowledge of speaker diarization, speaker recognition, and multi-language ASR challenges
Experience with data analysis and wrangling (e.g., Pandas, NumPy, Jupyter) to evaluate model performance
Understanding of cloud deployment and DevOps basics (e.g., Docker, Kubernetes, serverless workloads)
Comfort working in a fast-paced environment with dynamic objectives and quick iteration cycles
Demonstrated ability to work independently, make tradeoffs, and deliver results with minimal supervision
Preferred
Hands-on experience fine-tuning ASR models on domain-specific datasets
Familiarity with real-time streaming pipelines for audio ingestion and transcription
Exposure to search and retrieval systems (e.g., Elasticsearch) for indexing transcribed text
Prior experience in audio forensics or noisy-channel speech analysis
Experience with applying heuristics to improve transcription results
Benefits
3 weeks of paid vacation – out the gate!!
Generous medical, dental, and vision plans.
Sick, and paid holidays are offered.
Company
LeoTech
LeoTech is leading the effort to assist public safety efforts around the nation.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Steven Harpe
Chief Product Officer
Recent News
The Journal Record
2025-11-02
2025-02-16
2024-04-15
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