Platform Engineer – AI/ML Infrastructure

Remote

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$160,000 – $220,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Cloud Computing, Voice TechnologyIndustries

Requirements

Candidates should have 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering. Proven, hands-on experience building and managing production infrastructure with Terraform is required, along with expert-level knowledge of Kubernetes architecture and operations in a large-scale environment. Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads, and experience managing bare metal infrastructure, including server provisioning, configuration, and lifecycle management are also necessary. Strong scripting and automation skills in Python, Go, or Bash are essential.

Responsibilities

The Platform Engineer will architect and maintain the core computing platform using Kubernetes on AWS and on-premise, developing and managing the entire infrastructure with Infrastructure-as-Code (IaC) principles using Terraform. They will design, build, and optimize AI/ML job scheduling and orchestration systems, integrating Slurm with Kubernetes clusters to manage GPU resources. Responsibilities also include provisioning, managing, and maintaining on-premise bare metal server infrastructure for high-performance GPU computing, implementing and managing platform networking and storage solutions, and developing an observability stack. The engineer will collaborate with AI researchers and ML engineers to understand their infrastructure needs and build tools to accelerate their development cycle, while also automating the life cycle of single-tenant, managed deployments.

Skills

Kubernetes

AWS

Terraform

Slurm

AI/ML Infrastructure

GPU Orchestration

Bare Metal Servers

Infrastructure-as-Code (IaC)

Speech-to-Text (STT)

Text-to-Speech (TTS)

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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