8 часов назад
Senior Software Engineer, Inference (AI)
190 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Inference (AI): Turning cutting-edge AI research into robust, well-documented APIs and scalable inference infrastructure with an accent on backend engineering, production reliability, and customer-facing model capabilities. Focus on productionizing research prototypes, reducing latency, scaling services for over 1M API users, and contributing to SDKs and internal tooling.
Location: Chicago, United States
Salary: $190,000–$225,000 per year for candidates in the U.S.; the range may vary outside the U.S.
Company
Builds voice AI models and APIs powering speech-to-text, speech understanding, streaming audio, and other voice applications at large scale.
What you will do
- Design and ship customer-facing APIs exposing new model capabilities from prototype through launch and ongoing iteration.
- Scale inference infrastructure to support more than 1 million API users.
- Partner with researchers to productionize new techniques and transform notebooks or proofs of concept into reliable production systems.
- Optimize latency, reliability, and API ergonomics for customer-facing services.
- Work with customers and Applied teams to inform product design and research direction.
- Contribute across backend services, inference infrastructure, SDKs, and internal tooling.
Requirements
- Strong backend engineering experience.
- Experience building and supporting machine learning infrastructure and/or customer-facing APIs in production.
- Curiosity about AI and machine learning, with the ability to understand model behavior well enough to make sound engineering decisions.
- Comfort working with ambiguity across research and product timelines.
- Strong collaboration skills with researchers, applied engineers, and customers.
- Ability to work in or be based in Chicago, United States.
Culture & Benefits
- Small, fast-paced team with substantial individual ownership and impact.
- Lean operating model with limited bureaucracy and direct access to tools and information.
- Equal-opportunity workplace committed to inclusion and respect for diverse backgrounds.
- Competitive compensation with attention to pay equity and internal consistency.
Hiring process
- Selected candidates should review the guidance on the use of AI in the interview process.
- Salary expectations may be reassessed based on experience, qualifications, interview results, and internal equity.
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