Applied Research Engineer Job at Sieve, Inc. in San Francisco
Sieve, Inc., San Francisco, CA, United States
About Us
Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data.
We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 12 people. We also raised our Series A earlier this year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
About the Role
As an applied research engineer at Sieve, you’ll build high performance building blocks and large scale pipelines to understand video with high precision at internet scale. Often this involves working on ambiguous research problems and finding clever techniques to solve them. You will be working in the computer vision, audio processing, and text processing domains.
You’re likely a good fit if you’re comfortable working with models + APIs and squeezing every drop of performance out of them through clever pre/post-processing, parallelism, pipelining, inference optimization, and occasionally fine-tuning.
Requirements
2+ years of experience in computer vision or audio processing
Strong Python developer with hands-on experience in PyTorch or similar ML frameworks
Excellent communication skills, especially with customers and external teams
Writes clean, maintainable code—bonus points for active GitHub or portfolio projects
Deep passion for the video domain and media technologies
Motivated by building end-to-end products—not just training models
Able to break problems down from customer level impact to necessary building blocks.
Bonus: Active contributor to open source projects
Bonus: Experience as an early hire at a startup
In-person at our SF HQ
#J-18808-Ljbffr
In Summary: Sieve is the only AI research lab exclusively focused on video data . Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics . Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data .
En Español: Sobre nosotros Sieve es el único laboratorio de investigación sobre IA centrado exclusivamente en datos de vídeo. Combinamos infraestructura de video a escala exabyte, técnicas novedosas de comprensión de videos y docenas de fuentes de datos para desarrollar conjuntos de datos que empujan la frontera del modelado de video. El video representa el 80% del tráfico de Internet y se ha convertido en el medio digital que permite la creatividad, comunicación, juegos, AR/VR y robótica. Sieve existe para resolver el mayor cuello de botella en el crecimiento de estas aplicaciones: datos de capacitación de alta calidad. Nos hemos asociado con los mejores laboratorios de inteligencia artificial durante el último trimestre e hicimos $XXM, como un equipo de solo 12 personas. También levantamos nuestra serie A a principios de este año desde empresas Tier 1 como Swift Partners, Ventures, Y Combinator y Grant. Trabajará en los dominios de visión por ordenador, procesamiento de audio y procesamiento del texto. Es probable que sea un buen ajuste si se siente cómodo trabajando con modelos + API y apretando cada gota de rendimiento a través del inteligente pre / post-procesamiento, paralelismo, pipelining, optimización de inferencias y ocasionalmente afinación. Requisitos 2+ años de experiencia en la visión por computadora o procesado de audio Desarrollador Python fuerte con experiencia práctica en PyTorch o marcos ML similares Excelentes habilidades de comunicación, especialmente con clientes y equipos externos Escrituras limpias, códigos mantenibles puntos bonificados para proyectos activos GitHub o cartera
Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data.
We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 12 people. We also raised our Series A earlier this year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
About the Role
As an applied research engineer at Sieve, you’ll build high performance building blocks and large scale pipelines to understand video with high precision at internet scale. Often this involves working on ambiguous research problems and finding clever techniques to solve them. You will be working in the computer vision, audio processing, and text processing domains.
You’re likely a good fit if you’re comfortable working with models + APIs and squeezing every drop of performance out of them through clever pre/post-processing, parallelism, pipelining, inference optimization, and occasionally fine-tuning.
Requirements
2+ years of experience in computer vision or audio processing
Strong Python developer with hands-on experience in PyTorch or similar ML frameworks
Excellent communication skills, especially with customers and external teams
Writes clean, maintainable code—bonus points for active GitHub or portfolio projects
Deep passion for the video domain and media technologies
Motivated by building end-to-end products—not just training models
Able to break problems down from customer level impact to necessary building blocks.
Bonus: Active contributor to open source projects
Bonus: Experience as an early hire at a startup
In-person at our SF HQ
#J-18808-Ljbffr
In Summary: Sieve is the only AI research lab exclusively focused on video data . Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics . Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data .
En Español: Sobre nosotros Sieve es el único laboratorio de investigación sobre IA centrado exclusivamente en datos de vídeo. Combinamos infraestructura de video a escala exabyte, técnicas novedosas de comprensión de videos y docenas de fuentes de datos para desarrollar conjuntos de datos que empujan la frontera del modelado de video. El video representa el 80% del tráfico de Internet y se ha convertido en el medio digital que permite la creatividad, comunicación, juegos, AR/VR y robótica. Sieve existe para resolver el mayor cuello de botella en el crecimiento de estas aplicaciones: datos de capacitación de alta calidad. Nos hemos asociado con los mejores laboratorios de inteligencia artificial durante el último trimestre e hicimos $XXM, como un equipo de solo 12 personas. También levantamos nuestra serie A a principios de este año desde empresas Tier 1 como Swift Partners, Ventures, Y Combinator y Grant. Trabajará en los dominios de visión por ordenador, procesamiento de audio y procesamiento del texto. Es probable que sea un buen ajuste si se siente cómodo trabajando con modelos + API y apretando cada gota de rendimiento a través del inteligente pre / post-procesamiento, paralelismo, pipelining, optimización de inferencias y ocasionalmente afinación. Requisitos 2+ años de experiencia en la visión por computadora o procesado de audio Desarrollador Python fuerte con experiencia práctica en PyTorch o marcos ML similares Excelentes habilidades de comunicación, especialmente con clientes y equipos externos Escrituras limpias, códigos mantenibles puntos bonificados para proyectos activos GitHub o cartera