Employer profile
Reka AI
7 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
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Member of Technical Staff (Machine Learning Engineer)
Remote
remote Salary not disclosedMember of Technical Staff (Machine Learning Engineer) Remote What You'll Do - Translate cutting-edge research into production-ready machine learning systems - Design, build, and deploy end-to-end ML models and pipelines - Develop and optimize models for image and video processing - Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment - Rapidly prototype using open-source models and adapt them for product needs - Conduct experiments, analyze results, and iterate to improve performance - Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale - Participate with advancements in machine learning and apply them to continuously improve products What We're Looking For Required Qualifications - MS/PhD in Computer Science, Electrical Engineering, or related field - Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS) - 5+ years of experience in Python and proficiency in Java, C++, or Scala - Strong understanding of diffusion models - Strong understanding of multi-threading and memory management - Solid knowledge of ML architectures: CNNs and Transformers - Experience with PyTorch or TensorFlow - Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications - Experience deploying ML models in cloud environments (AWS preferred) - Experience with experiment tracking systems and ML workflows Nice to Have - Experience in low level optimisation, cuda etc. - Experience productionizing and scaling ML models in real-world systems - Contributions to open-source projects - Experience with MLOps tools or distributed training systems - Familiarity with relational databases (Postgres/MySQL) -
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Member of Technical Staff (Robotics Research Lead)
UK, Remote, London
remote Salary not disclosedMember of Technical Staff (Robotics Research Lead) UK, Remote, London We are an AI research lab building foundational intelligence for the physical world. Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media. We work at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments. You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation. What You'll Do - Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics. - Build the "World": Develop persistent 3D/4D scene representations that maintain temporal consistency. - Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models. - Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act. - Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI. Areas of Interest We are particularly excited about candidates working on topics such as: - World models for embodied systems - 3D / 4D generative models - Robotics manipulation - Embodied AI - Multimodal AI What We're Looking For - Background in robotics, or computer vision - Experience
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Member of Technical Staff (Product Engineer)
US, UK, Remote
remote Salary not disclosedMember of Technical Staff (Product Engineer) US, UK, Remote 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
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Member of Technical Staff (Data Intelligence)
US, UK, Singapore, Remote
remote Salary not disclosedMember of Technical Staff (Data Intelligence) US, UK, Singapore, Remote In this role, you'll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale in a reliable, efficient way. From understanding how data choices show up in model behavior, to building processing pipelines and running the compute behind them, you'll help ensure our models are trained on the best data we can get. What you'll do - Work with model researchers to define what “good data” means for our models, including quality metrics, validation checks, and acceptance thresholds - Explore open source datasets and create internal ones most suitable to build fundamental World Models - Build algorithms for automated data quality assessment, data domain mixtures, and domain adaptation from synthetic to real data. - Track datasets, metadata, provenance, and versions so experiments are reproducible and it's clear what data went into which training and evaluation runs - Own CI/CD and development tooling for the data stack (GitHub, Python, PyTorch), and automate repetitive workflows to reduce friction - Track and optimize throughput, storage, and compute utilization across pipelines and related assets What we're looking for - Strong ML and deep learning fundamentals with experience building and operating large-scale data and/or compute systems - Comfortable moving between research questions and production engineering: you can dig into data, run analyses, and also ship reliable systems - Demonstrated research experience with data compositions, quality, and dataset releases -
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Member of Technical Staff (Applied AI)
US, UK, Remote
remote Salary not disclosedMember of Technical Staff (Applied AI) US, UK, Remote As a Member of Technical Staff on Applied AI, you will: - Productionize frontier AI models to solve complex real-world problems. - Collaborate closely with researchers and other teammates on the latest advancements in AI and ML. - Work closely with our customers to integrate our models into their technology stack. - Make direct business impact with a high level of product ownership. - Be a founding member of a fast-growing team and wear many hats. You may be a good fit, if you have: - An obsession with customers and a passion for solving practical (but sometimes ambiguous) real-world problems. - Experience as a machine learning engineer, ideally working on AI products for external customers. - Background as a technical founder or in a similar capacity. - Practical experience working with transformer models and LLMs. - An exceptional ability to communicate and work effectively with cross-functional teams. - Track records of owning problems end-to-end, and can learn fast and pick up new knowledge to get the job done. - A kind and collaborative nature and work style. 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
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Member of Technical Staff (GPU Performance Engineer)
US, UK, Singapore, Remote
remote Salary not disclosedMember of Technical Staff (GPU Performance Engineer) US, UK, Singapore, Remote We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure. Ideal Experience - Strong engineering skills with fluency in Python and PyTorch (or other frameworks). - Proven experience implementing and training large deep learning models. - Experience writing and debugging low-level GPU code (CUDA, C++). - Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes). - Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques. Reka's Mission Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations 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 numerous breakthroughs in AI over the past decade. Why Reka? - An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in
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Member of Technical Staff (ML)
US, UK, Remote
remote Salary not disclosedMember of Technical Staff (ML) US, UK, Remote As a Member of Technical Staff on Machine Learning, you will: - Contribute to the entire development cycle of our cutting-edge large deep learning models. - Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products. - Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications. - Join us at an exciting moment, wear many hats and help us build something from the ground up! You may be a good fit, if you have: - Experience with training and evaluating large deep learning models. - Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX). - Proven track record of applying and implementing machine learning algorithms into software applications at scale. - The ability to build in a fast-paced environment under some uncertainty. - A kind and collaborative nature and work style. 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