Jobright.ai
Research Staff, Machine Learning Engineer, Mid-Level (Remote)
Jobright.ai, San Francisco, California, United States, 94199
Research Staff, Machine Learning Engineer, Mid-Level (Remote)
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Research Staff, Machine Learning Engineer, Mid-Level (Remote)
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Jobright.ai Research Staff, Machine Learning Engineer, Mid-Level (Remote)
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Research Staff, Machine Learning Engineer, Mid-Level (Remote)
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Deepgram is the leading voice AI platform for developers building speech-to-text and text-to-speech offerings. They are seeking a highly skilled and versatile Machine Learning Engineer to join their Research Staff team, focusing on scaling training systems for speech-related technologies and driving innovation in data strategies. Responsibilities: • Architect and manage horizontally scalable training systems for Speech to Text (STT) and Text to Speech (TTS) models across diverse domains, including, but not limited to: non-english languages, use cases, and customer-centric. • Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. • Oversee and manage training tooling, job orchestration, experiment tracking, and data storage. Qualifications: Required: • Strong experience in training large-scale machine learning systems, particularly in STT or related speech domains. • 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. • Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders. Preferred: • Deep understanding of evaluation metrics and benchmarking techniques for ASR and/or TTS systems. Company: Deepgram specializes in providing AI-powered speech-to-text technology that offers audio intelligence, text-to-speech, and voice agent API. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Deepgram has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Researcher” roles.
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Join to apply for the
Research Staff, Machine Learning Engineer, Mid-Level (Remote)
role at
Jobright.ai Research Staff, Machine Learning Engineer, Mid-Level (Remote)
2 days ago Be among the first 25 applicants Join to apply for the
Research Staff, Machine Learning Engineer, Mid-Level (Remote)
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Deepgram is the leading voice AI platform for developers building speech-to-text and text-to-speech offerings. They are seeking a highly skilled and versatile Machine Learning Engineer to join their Research Staff team, focusing on scaling training systems for speech-related technologies and driving innovation in data strategies. Responsibilities: • Architect and manage horizontally scalable training systems for Speech to Text (STT) and Text to Speech (TTS) models across diverse domains, including, but not limited to: non-english languages, use cases, and customer-centric. • Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. • Oversee and manage training tooling, job orchestration, experiment tracking, and data storage. Qualifications: Required: • Strong experience in training large-scale machine learning systems, particularly in STT or related speech domains. • 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. • Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders. Preferred: • Deep understanding of evaluation metrics and benchmarking techniques for ASR and/or TTS systems. Company: Deepgram specializes in providing AI-powered speech-to-text technology that offers audio intelligence, text-to-speech, and voice agent API. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Deepgram has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Researcher” roles.
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