Machine Learning Researcher
ElevenLabsSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
$150,000 – $220,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Voice Technology, SoftwareIndustries
Requirements
The candidate should have strong experience in training large-scale machine learning systems, particularly in STT or related speech domains. Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect, as well as familiarity with ML lifecycle tools such as MLflow, is required. Experience building internal tools or dashboards for non-technical users is also necessary.
Responsibilities
The Machine Learning Engineer will architect and manage horizontally scalable training systems for STT and TTS models across diverse domains, including data preparation, training pipelines, and automated evaluation tooling. They will design and implement internal UIs and tools to make ML systems accessible to non-technical stakeholders, providing transparency and flexibility. Additionally, the role involves overseeing and managing training tooling, job orchestration, experiment tracking, and data storage.
Skills
Machine Learning
Speech Recognition
Speech Synthesis
Data Strategy
Training Systems
API Development
Software Engineering
Deepgram
Speech recognition APIs for audio transcription
About Deepgram
Deepgram specializes in artificial intelligence for speech recognition, offering a set of APIs that developers can use to transcribe and understand audio content. Their technology allows clients, ranging from startups to large organizations like NASA, to process millions of audio minutes daily. Deepgram's APIs are designed to be fast, accurate, scalable, and cost-effective, making them suitable for businesses needing to handle large volumes of audio data. The company operates on a pay-per-use model, where clients are charged based on the amount of audio they transcribe, allowing Deepgram to grow its revenue alongside client usage. With a focus on the high-growth market of speech recognition, Deepgram is positioned for future success.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$100.5MTotal Funding
SERIES_BCompany Stage
Data & Analytics, AI & Machine LearningIndustries
51-200Employees
Benefits
Comprehensive Health Plans
FSA Health Matching up to $1,000
Work from Home Ergonomic Stipend
Healthy Food & Snacks in offices
Community Groups
Unlimited Vacation
Risks
Increased competition from open-source solutions like OpenAI's Whisper threatens market share.
Recent layoffs suggest potential financial instability or strategic restructuring challenges.
Integration of Poised may cause disruptions in service or product development.
Differentiation
Deepgram's APIs offer fast, accurate, and scalable speech recognition solutions.
The acquisition of Poised enhances Deepgram's real-time feedback capabilities in virtual meetings.
Aura API provides low-latency, human-like voice models for conversational AI agents.
Upsides
Strategic partnership with Clarifai accelerates AI application development and market expansion.
Aura API positions Deepgram to capitalize on real-time conversational voice AI trends.
Deepgram's technology is used by large enterprises like NASA, indicating strong market trust.
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