Set technical direction for speech-model and decoder strategy across the team, guiding evaluation of state-of-the-art approaches.
Lead research, adaptation, and implementation of ASR/STT, speech-enhancement, and related audio models.
Improve the speech pipeline end to end, including decoding, endpointing, turn detection, and streaming behavior.
Dialpad is an AI platform for customer experience, built to resolve customer problems in real time across voice and digital. The company is backed by major investors like Andreessen Horowitz and serves market-leading brands, fostering a culture of curiosity and ambition.
Build cutting-edge technology using deep learning and machine learning to personalize Pinterest.
Partner with teams to improve ML models for product surfaces like Homefeed and Search.
Use data-driven methods to improve content recommendation and ads delivery.
Pinterest is a platform where millions of people find creative ideas and plan for memories. The company is mission-driven, focusing on innovation and inclusion, with a large and diverse user base.
Drive ML strategy and roadmap for recommendation and matching systems.
Architect high-scale ML systems for real-time intent prediction and candidate ranking.
Provide org-wide technical leadership and mentor ML engineers across teams.
ZipRecruiter is a leading online employment marketplace powered by AI-driven smart matching technology. The company actively connects millions of businesses and job seekers and has the #1 rated job search app on iOS & Android.
Deliver end-to-end computer vision projects for power grid defect detection, thermal anomalies, vegetation monitoring, and surveillance.
Advance ML research by implementing novel algorithms from papers and conducting systematic experiments for production viability.
Develop production-grade Python libraries and pipelines covering the full ML lifecycle from data ingestion to model serving.
Buzz uses AI to analyze and maintain power grid infrastructure for enhanced safety and efficiency. The team is composed of experienced ML engineers working in a collaborative, autonomous environment.
Drive innovation across the machine learning ecosystem and architect advanced ML solutions.
Mentor junior ML engineers and lead complex ML initiatives at scale.
Own models in production including deployment, monitoring, drift detection, and retraining.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers grow their businesses worldwide.
Partner with interdisciplinary teams to develop novel AI strategies for antibody design, including test-time compute and multi-objective optimization.
Analyze validation results to iteratively improve design and evaluation methodologies.
Publish high-impact research to advance Absci's position as a thought leader in AI antibody design.
Absci is a clinical-stage biotechnology company using generative AI to design novel therapeutics. It is a global company with offices in the US, Switzerland, and Serbia, offering a collaborative and innovative culture with access to advanced compute resources and a wet lab.
Design, train, and improve large-scale machine learning models for recommendation and personalization, leveraging modern deep learning architectures.
Own end-to-end delivery of major ML system components, from problem framing to production rollout, with cross-functional partners.
Optimize distributed training, model efficiency, and online inference performance while ensuring low-latency, high-throughput production systems.
Reddit is a community of communities built on shared interests, passion, and trust, hosting authentic conversations. With over 100,000 active communities and about 130 million daily active users, Reddit is one of the internet's largest sources of information.
Architect and lead the development of next-generation, large-scale machine learning techniques.
Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.