Backend Software Engineer
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Requirements
• 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. • It Would Be Great if You Had • Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers
Responsibilities
• Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s internal data and ML training systems. You will design and implement secure, robust, and scalable services for data cataloging, querying, and access; efficient, distributed compute orchestration for ML training jobs; integrations with Research tooling, and more. Your skill at building highly reusable code that overcomes technical challenges will be paired with an intuition for what improves researcher productivity and model quality. You will be a critical voice in Deepgram’s Product, Data, and Engineering teams, driving high impact products from start to finish. • 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 • You’ll Love This Role If You • Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity • Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work
Benefits
• Estimated Base Salary $150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus • This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits. • Holistic health • Annual wellness stipend • Mental health support • Life, STD, LTD Income Insurance Plans • Work/life blend • Generous paid 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 • Continuous learning • 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. • Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!