Member of Technical Staff (Product Engineer)

• Build and ship AI-native product features end to end — turning ambiguous ideas into working systems that users rely on. • Design and implement backend systems, APIs, and data pipelines that support model-driven workflows. • Own systems from design through implementation, monitoring, and iteration. • Use AI tools to accelerate coding, debugging, and iteration — and build systems that themselves leverage AI through agents, retrieval, and multimodal reasoning. • Collaborate closely with researchers, designers, and product to bring ideas into production quickly while maintaining a high bar for reliability and simplicity.

• Have experience building production systems — backend or full-stack. • Have strong fundamentals in APIs, distributed systems, and system reliability. • Be comfortable working across multiple domains including engineering, product, data, and UX. • Have a track record of owning problems end to end, not just executing tasks. • Be able to move quickly in a fast-paced, ambiguous environment. • Have strong communication and cross-functional collaboration skills. • Bring a pragmatic, solution-oriented approach to complex problems.

• Have experience with video or multimodal pipelines including ingestion, processing, and indexing. • Have experience generating embeddings from video, audio, or text and building retrieval systems. • Have experience with semantic search over video including timestamped moments and clips. • Have experience with metadata extraction such as speech, scenes, objects, or events. • Have experience with streaming and playback systems such as HLS, transcoding, or latency trade-offs. • Have experience evaluating multimodal systems across retrieval quality, relevance, and cost/performance.

• Build and ship AI-native product features end to end across backend, frontend, infra, and experimentation. • Design and implement backend systems, APIs, and data pipelines for model-driven workflows. • Turn ambiguous goals into concrete scopes, milestones, and shipped outcomes. • Use AI tools to create leverage in your own workflow and build systems that leverage AI. • Own systems from design through monitoring and iteration in close collaboration with researchers and product.

• Work fully remotely from the UK, US, or anywhere in the world. • Receive visa assistance including H1B and OPT transfers for US employees. • Take 5 weeks of paid leave per year. • Access comprehensive healthcare benefits including vision and dental. • Collaborate with top-tier engineers and researchers from Google DeepMind, FAIR, and successful AI startups. • Join a mission-driven, inclusive team at the frontier of multimodal AI.

Reka is a multimodal AI research and product company building models that understand video, audio, and text — reasoning about the world and taking action. A globally distributed foundation model startup headquartered in San Francisco, Reka embraces a remote-first approach and brings together top talent from around the world. The founding team has contributed to many of the key breakthroughs in AI over the past decade.