Member of Technical Staff (Product Engineer)
About the role
Join us as a Member of Technical Staff (Product Engineer) and help build the next generation of AI-native products.
Reka is a multimodal AI research and product company building models that understand video, audio, and text, reason about the world, and take action.
In this role, you will take ownership of product outcomes end-to-end—turning ambiguous ideas into working systems that users rely on. You will work across backend systems, product surfaces, and experimentation loops to deliver fast, reliable, and intelligent user experiences.
This is a product engineering role. You won’t just implement features—you will define problems, build solutions, and iterate until the outcome is achieved.
What you’ll do
Build and ship AI-native product features end-to-end
Design and implement backend systems, APIs, and data pipelines that support model-driven workflows
Work across the stack when needed (backend, frontend, infra, experimentation)
Collaborate closely with researchers, designers, and product to bring ideas into production
Own systems from design → implementation → monitoring → iteration
Turn ambiguous goals into concrete scopes, milestones, and shipped outcomes
Move quickly while maintaining a high bar for reliability, performance, and simplicity
Like most roles at Reka, you’ll wear many hats and help build something from the ground up.
AI leverage & how we work
We expect engineers to use AI tools as part of how they work.
You will:
Use AI tools to accelerate coding, debugging, and iteration
Treat AI-generated output as a starting point—validate with tests, reviews, and observability
Design your own workflows to maximize speed without sacrificing correctness
Build systems that themselves leverage AI (agents, retrieval, multimodal reasoning)
We care about how effectively you create leverage, not just how much code you write.
You may be a good fit if you have
Experience building production systems (backend or full-stack)
Strong fundamentals in APIs, distributed systems, and system reliability
Comfort working across multiple domains (engineering, product, data, UX)
A track record of owning problems end-to-end, not just executing tasks
Ability to move quickly in a fast-paced, ambiguous environment
Strong communication and cross-functional collaboration skills
A pragmatic, solution-oriented approach to complex problems
Nice to have: video & vision product experience
This is not required, but a strong signal of fit.
You may have experience working with:
Video or multimodal pipelines (ingestion, processing, indexing)
Generating embeddings from video/audio/text and building retrieval systems
Search over video (semantic search, timestamped moments, clips)
Metadata extraction (speech, scenes, objects, events)
Streaming and playback systems (e.g., HLS, transcoding, latency tradeoffs)
Evaluating multimodal systems (retrieval quality, relevance, cost/performance)
This kind of experience is relevant because modern AI systems increasingly operate over continuous data like video and audio, not just text. (reka.ai)
If you haven’t worked on video directly but can reason about these systems, that’s equally valuable.
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
How we evaluate
We look for:
Ability to own and deliver outcomes end-to-end
Strong engineering fundamentals and product sense
Effective use of AI tools to create leverage
Comfort operating in ambiguity and across domains
If you’re excited about building AI-native products, working across the stack, and turning ideas into reality, we’d love to talk.
Apply To This Job
Join us as a Member of Technical Staff (Product Engineer) and help build the next generation of AI-native products.
Reka is a multimodal AI research and product company building models that understand video, audio, and text, reason about the world, and take action.
In this role, you will take ownership of product outcomes end-to-end—turning ambiguous ideas into working systems that users rely on. You will work across backend systems, product surfaces, and experimentation loops to deliver fast, reliable, and intelligent user experiences.
This is a product engineering role. You won’t just implement features—you will define problems, build solutions, and iterate until the outcome is achieved.
What you’ll do
Build and ship AI-native product features end-to-end
Design and implement backend systems, APIs, and data pipelines that support model-driven workflows
Work across the stack when needed (backend, frontend, infra, experimentation)
Collaborate closely with researchers, designers, and product to bring ideas into production
Own systems from design → implementation → monitoring → iteration
Turn ambiguous goals into concrete scopes, milestones, and shipped outcomes
Move quickly while maintaining a high bar for reliability, performance, and simplicity
Like most roles at Reka, you’ll wear many hats and help build something from the ground up.
AI leverage & how we work
We expect engineers to use AI tools as part of how they work.
You will:
Use AI tools to accelerate coding, debugging, and iteration
Treat AI-generated output as a starting point—validate with tests, reviews, and observability
Design your own workflows to maximize speed without sacrificing correctness
Build systems that themselves leverage AI (agents, retrieval, multimodal reasoning)
We care about how effectively you create leverage, not just how much code you write.
You may be a good fit if you have
Experience building production systems (backend or full-stack)
Strong fundamentals in APIs, distributed systems, and system reliability
Comfort working across multiple domains (engineering, product, data, UX)
A track record of owning problems end-to-end, not just executing tasks
Ability to move quickly in a fast-paced, ambiguous environment
Strong communication and cross-functional collaboration skills
A pragmatic, solution-oriented approach to complex problems
Nice to have: video & vision product experience
This is not required, but a strong signal of fit.
You may have experience working with:
Video or multimodal pipelines (ingestion, processing, indexing)
Generating embeddings from video/audio/text and building retrieval systems
Search over video (semantic search, timestamped moments, clips)
Metadata extraction (speech, scenes, objects, events)
Streaming and playback systems (e.g., HLS, transcoding, latency tradeoffs)
Evaluating multimodal systems (retrieval quality, relevance, cost/performance)
This kind of experience is relevant because modern AI systems increasingly operate over continuous data like video and audio, not just text. (reka.ai)
If you haven’t worked on video directly but can reason about these systems, that’s equally valuable.
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
How we evaluate
We look for:
Ability to own and deliver outcomes end-to-end
Strong engineering fundamentals and product sense
Effective use of AI tools to create leverage
Comfort operating in ambiguity and across domains
If you’re excited about building AI-native products, working across the stack, and turning ideas into reality, we’d love to talk.
Apply To This Job