Applied ML Engineer - Edge Devices
Remote
About the role
Deepgram is seeking an Applied ML Engineer focused on edge devices to join their team. The role involves working with advanced speech models that are recognized for their speed and accuracy, utilizing NVIDIA GPUs for large-scale operations. Candidates should be comfortable with integrating AI into their workflows and adapting to rapidly changing technologies, as the company emphasizes an AI-first mindset. The position requires a willingness to experiment and innovate, making it suitable for individuals who thrive in dynamic environments and enjoy pushing the boundaries of technology. While specific qualifications or years of experience are not mentioned, a strong background in machine learning and familiarity with AI tools is implied. The role is fully remote, allowing for flexibility in work arrangements. This position is ideal for those who are eager to learn continuously and are not looking for a traditional 9-to-5 job structure.
How to apply
- Check how well your resume fits: “Analyse this for me” shows what matches and what is missing.
- Tailor your resume: “Resume for this vacancy” writes a version for this job.
- Apply on the original advert: the button below opens it.
Victra collected this posting from Google. On Victra you can save it, check how well your CV fits it and get jobs like it every day.
Related jobs
- AI EngineerPhantomRemote · USA
- Senior AI DeveloperClickUpRemote · USA
- AI Engineer, GTMCrestaRemote · USA
- Staff Machine Learning EngineerBayesian HealthRemote · USA
- Embedded AI Engineer, On-Device ModelsDeepgramRemote · USA
- Machine Learning Engineer - Inference Maintainer & Developer ExperienceRoboflowRemote · USA
- AI Engineer, MarketingInstructureRemote · USA
- Cloud AI Engineer (Legal & Compliance)BinanceRemote · USA