Research Staff, LLMs

Deepgram
California, Ann Arbor, San Francisco
Workplace: RemoteFull timeUSD 150,000 - 250,000 annuallyFunction: Research & Scientific (R&D)Experience: 3+ yearsSkills: ["Communication","Analytical","Collaboration"]

Join our Research Staff to advance state-of-the-art LLM research at a high-scale voice AI company. You will design and run distributed training experiments, optimize transformer architectures, curate data, and contribute to production deployments while collaborating with a talented team to explore unsolved problems and push the boundaries of deep learning for real-world speech and language models.

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FursaFursa
Deepgram
Deepgram
7 months ago

Research Staff, LLMs

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

Job Summary

Join our Research Staff to advance state-of-the-art LLM research at a high-scale voice AI company. You will design and run distributed training experiments, optimize transformer architectures, curate data, and contribute to production deployments while collaborating with a talented team to explore unsolved problems and push the boundaries of deep learning for real-world speech and language models.
Location: California, Ann Arbor, San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives
  • •Broad surveying of literature, evaluating, classifying, and distilling current methods
  • •Designing and carrying out experimental programs for LLMs
  • •Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
  • •Documenting and presenting results and complex technical concepts clearly for a target audience

Pay and Benefits

Salary: USD 150,000 - 250,000 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionWellness StipendParential LeavePt0401kEducation StipendHome OfficeEquity

Key Requirements

  • •3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism
  • •Proven experience working with large language models (LLMs) – including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
  • •Strong experience coding in Python and working with Pytorch
  • •Experience with various transformer architectures (auto-regressive, sequence-to-sequence, etc.)
  • •Experience with distributed computing and large-scale data processing
Experience:3+ yearsAIMachine LearningResearch
Skills:CommunicationAnalyticalCollaboration
Tech Stack:PythonPyTorchTransformersDistributed Computing

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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