Research Engineer, Machine Learning Systems

Deepgram
Ann Arbor, San Francisco
Workplace: RemoteFull timeUSD 150,000 - 250,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Teamwork","Collaboration","Problem-solving"]

Join the Deepgram Research team as a Machine Learning Engineer focusing on scalable training systems for speech technologies. You will architect high-throughput pipelines, build internal tooling, and manage training infrastructure to accelerate STT/TTS models, collaborating with researchers and engineers to push the boundaries of voice AI.

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FursaFursa
Deepgram
Deepgram
4 months ago

Research Engineer, Machine Learning Systems

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Join the Deepgram Research team as a Machine Learning Engineer focusing on scalable training systems for speech technologies. You will architect high-throughput pipelines, build internal tooling, and manage training infrastructure to accelerate STT/TTS models, collaborating with researchers and engineers to push the boundaries of voice AI.
Location: Ann Arbor, San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Scalable model training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models, including optimized data preparation, high-throughput pipelines, distributed infrastructure, and automated evaluation tooling.
  • •Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company.
  • •Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.
  • •Collaborate with researchers and engineers to prototype and validate novel modeling ideas and scale them to production.
  • •Experiment with new technologies and techniques to improve efficiency and impact of ML research and product deployment.

Pay and Benefits

Salary: USD 150,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityAnnual BonusRemote WorkPaid Leave

Key Requirements

  • •Strong experience with the machine learning research pipeline, particularly in STT or related speech domains, including experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems.
  • •Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect.
  • •Familiarity with ML lifecycle tools such as MLflow.
  • •Experience building internal tools or dashboards for non-technical users.
  • •Hands-on experience with data engineering practices for unstructured audio and text data.
Experience:Speech recognitionVoice AIML systems
Skills:CommunicationTeamworkCollaborationProblem-solving
Languages:English
Tech Stack:KubernetesDockerPrefectMLflowSTTTTSData engineering

Company Brief

Deepgram
Deepgram builds a real-time Voice AI platform delivering speech-to-text, text-to-speech, and voice-agent APIs for developers and enterprises, focusing on low-latency, high-accuracy voice models and scalable deployment options.
Industry: API Platforms
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.5
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