Note: The job is a remote job and is open to candidates in USA. Deepgram is the leading platform in the Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech services. They are seeking a Backend Software Engineer to lead the design and implementation of internal data and ML training systems, focusing on building secure and scalable services to enhance researcher productivity and model quality.

Responsibilities

• Improve Deepgram’s core data ingestion, cataloging, and transformation services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
• Engineer ML training code to be performant and highly extensible, rapidly enabling large-scale training of new foundational model architectures
• Develop processes for measuring, building, and optimizing services to maximize system performance
• Debug complex system issues that include networking, scheduling, database, and other persistence store interactions
• Partner with DataOps and Research to design and implement new services, features, and/or products end to end

Skills

• 3+ years of experience in an industry role
• Programming experience in Rust (or C, C++), with competence in Python
• Excellent communication and organizational skills, both written and verbal
• A high level of experience and understanding of version control; preferably git
• Comprehensive experience with UNIX-style systems
• Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers
• Experience with audio processing

Benefits

• Medical, dental, vision benefits
• Annual wellness stipend
• Mental health support
• Life, STD, LTD Income Insurance Plans
• Unlimited PTO
• Parental leave
• Flexible schedule
• 12 Paid US company holidays
• Quarterly personal productivity stipend
• One-time stipend for home office upgrades
• 401(k) plan with company match
• Tax Savings Programs
• Learning / Education stipend
• Participation in talks and conferences
• Employee Resource Groups
• AI enablement workshops / sessions
• For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.

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