Deepgram

Deepgram is seeking an Applied ML Engineer to focus on deploying their advanced speech models to a variety of edge devices and non-NVIDIA accelerators. This role involves adapting existing models to run efficiently within diverse hardware constraints, including different inference runtimes and operator sets. You will be responsible for optimizing models through techniques like quantization and precision adjustments, validating performance on real hardware, and building robust deployment pipelines for edge targets. This is a hands-on engineering position, distinct from research or cloud-focused roles, aimed at ensuring Deepgram's cutting-edge voice AI can be deployed effectively across a wide range of customer hardware.

$155k - $245k

Deepgram is seeking an early-career engineer to revolutionize its People Operations through AI and automation. This role involves partnering directly with the Head of People to identify, design, and build AI-powered workflows that will transform how People Ops functions. You will focus on creating intelligent systems that sit on top of existing HRIS and People platforms, converting manual, repetitive processes into efficient, automated workflows using AI, automation, APIs, internal tools, and agents. This is a hands-on position for someone passionate about building, experimenting, and significantly enhancing work efficiency.

Deepgram is a leading platform in the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and building voice agents. We are seeking an experienced researcher with extensive experience in Large Language Models (LLMs) and a deep understanding of transformer architecture to join our Research Staff. This role involves tackling the hard technical aspects of LLMs, including data curation, distributed large-scale training, transformer architecture optimization, and Reinforcement Learning (RL) training. We are looking for individuals who see unsolved problems as opportunities, can quickly validate ideas, scale proofs-of-concept, and are obsessed with using AI to amplify their impact. If you are energized by these challenges and driven to create elegant, scalable solutions, this role offers transformative potential.

$150k - $250k

Deepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research team. As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems. On the Research team, you will experiment with new technologies and techniques, while also working on product-focused deliverables, learning from colleagues with a wide range of expertise in AI and machine learning as you go.

$150k - $250k

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text and text-to-speech. We are seeking a Research Staff member to pioneer the development of Latent Space Models (LSMs), a novel approach to address fundamental data, scale, and cost challenges in building robust, contextualized voice AI. This role involves developing new paradigms for audio AI to make voice interaction accessible to everyone, moving beyond current sequence modeling limitations.

$150k - $250k

Deepgram is seeking a Senior Software Engineer - Model Evaluation & AI Systems to join a team focused on validating the quality of their speech, audio, and multilingual models before customer release. This role involves owning the evaluation and quality assurance processes for models across speech-to-text, text-to-speech, and LLM/multimodal systems. You will build the necessary pipelines, harnesses, canaries, and test frameworks to detect regressions and quality issues, working closely with Research to automate and enforce model expectations. The ideal candidate will be a strong engineer comfortable with building test infrastructure and analyzing model behavior, with a passion for quality, measurement, and automation.

$180k - $240k

Deepgram is seeking a Staff Developer Experience (DX) Engineer to own the systems that enable developers to go from API key to production with minimal friction. This deeply technical role involves building and evolving the foundation of multi-language SDKs, improving the developer journey, and proactively removing obstacles. You will collaborate with Engineering, Product, Partnerships, and Developer Relations to define standards for developer experience across the platform, ultimately making Deepgram the easiest voice AI platform to build on. Success will be measured by faster time to first API call, better SDKs, fewer support issues, and a positive developer experience.

$219k - $277k

Deepgram is seeking a Backend Software Engineer to join the Engine team, focusing on the design and implementation of the company's speech processing products. This role involves building secure, robust, and scalable services for speech processing, efficient distributed compute orchestration, and optimized scheduling. The ideal candidate will possess strong skills in writing reusable code to overcome technical challenges and a good intuition for user experience. You will play a key role in the Product and Engineering teams, driving high-impact products from conception to completion. Deepgram operates with an AI-first mindset, expecting all team members to actively use and experiment with advanced AI tools, integrating them into their daily work and workflows to push technological boundaries.

$150k - $220k

Deepgram is seeking an Embedded AI Engineer to work on optimizing their speech models for a wide range of hardware, including non-NVIDIA accelerators, embedded SoCs, mobile processors, and specialized devices with tight resource constraints. This role operates at the lowest layer of the edge stack, focusing on writing and optimizing custom kernels and operators, collapsing models onto device-specific execution units, and performing target-side quantization and assembly-level tuning. The engineer will collaborate with Applied ML Engineers to ensure Deepgram's models can run efficiently on new hardware platforms, making them viable for edge deployment. This position is ideal for senior embedded engineers with a passion for AI or staff-level engineers looking to shape the future of on-device AI model deployment.

$219k - $274k

Deepgram is seeking a Software Engineer to join its Enterprise AI team, a new unit focused on solving complex problems in the Voice AI economy. This role involves working directly with leading restaurant enterprises and technology partners to address high-impact challenges such as ultra-robust ASR in noisy environments, high-accuracy ordering agents, real-time analytics, and hardware integration. The ideal candidate will be comfortable with an AI-first mindset, actively using and experimenting with AI tools, and adapting to the rapid pace of innovation in the field. This position offers the opportunity to push the boundaries of LLMs and voice AI technology to solve historically elusive challenges.

$197k - $307k

Deepgram is seeking an engineer to join its Applied AI team, focused on tackling complex voice AI challenges for enterprise clients. This role involves working directly with major companies to solve unique problems that lack off-the-shelf solutions, often involving "zero to one" innovation. Current projects include developing robust ASR for noisy environments, enabling self-service model adaptation for large customers, building high-accuracy voice agents for specific domains like drive-thru ordering, and enhancing real-time analytics and on-site hardware integration. The company fosters an AI-first culture where all team members are expected to actively use, experiment with, and build AI tools into their daily work, adapting quickly to the rapid pace of AI advancements.

$197k - $307k

Deepgram is seeking an experienced Platform Engineer to build and operate the hybrid infrastructure foundation for its advanced AI/ML research and product development. This role involves architecting, building, and running a platform that spans AWS and bare metal data centers, enabling teams to train and deploy complex models at scale. The focus is on creating a robust, self-service environment using Kubernetes, AWS, and Infrastructure-as-Code (Terraform), and orchestrating high-demand GPU workloads with schedulers like Slurm. The ideal candidate is passionate about building empowering platforms, enjoys creating automated solutions for complex infrastructure challenges, and thrives on optimizing hybrid infrastructure for performance, cost, and reliability.

$136k - $240k

Deepgram is seeking a founding engineer to build the "Intelligence Layer," a system of autonomous agents that monitor, reason, and act on company data to drive revenue and operational excellence. This role involves building API-based tools, dbt models, and semantic layers that enable AI agents to navigate the data environment autonomously, rather than creating traditional dashboards. The ideal candidate will be an AI-first thinker, comfortable experimenting with and integrating advanced AI tools into their daily work, and adapting to the rapid pace of AI development.

$165k - $220k

Deepgram is seeking an ML Ops Infrastructure Engineer to build the critical bridge between AI research and production. This role involves designing and implementing the pipelines, deployment systems, and testing infrastructure necessary to take models from experimental stages to battle-tested at scale. The goal is to ensure that model improvements are delivered safely, quickly, and reliably to customers relying on Deepgram's real-time voice AI APIs. The ideal candidate will be excited by the challenge of operationalizing cutting-edge AI models, believe in the value of great infrastructure, and enjoy designing automated, reliable, and self-healing systems.

$160k - $220k

Deepgram is seeking a backend software engineer to lead the design and implementation of its Voice Agent product. This role involves designing and implementing secure, robust, and scalable services for speech processing, building integrations for telephony providers and RAG systems, and engineering for testability and observability within a complex chain of AI models. The ideal candidate will possess strong skills in building reusable code and a good intuition for user experiences, playing a critical role in driving high-impact products from conception to completion.

$150k - $220k