SGS_JOB_2541
Contract - 12 Months
Location (mandatory): Redmond WA We bring together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. In particular, the RL Research Audio team is focused on two goals: creating virtual sounds that are perceptually indistinguishable from reality and redefining human hearing. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart and allow them to converse in even the most difficult listening environments. We are looking for a contract ML Data Engineer to work at the intersection of data engineering and applied machine learning. You will be helping to process and transform our complex multimedia data into complete machine learning datasets suitable for consumption by researchers. We require someone who can take a hands-on approach to building data-processing pipelines, ensuring the data is robust and well-prepared for our machine learning workflows.
Job Description The role is an AI engineer in the AI research team to execute its engineering tasks. The team aims at driving innovation towards superintelligence from the perspective of data curation algorithms for perception, better modeling of spatial and temporal knowledge, and more efficient research tools. We work on research in various modalities (e.g., CV, NLP, embodied AI) and build large scale foundation data and models with high quality and diversity. In this role, you will be embedded into the team and other AI research collaborators to convert ideas into implementation and solutions. You will build new algorithms, new functionalities, and new architectures in our research platforms. You will participate in the team publication effort to turn works into broad research outcomes and push the research frontier in superintelligence.
We are looking for a skilled Linguistic Engineer to join our team to build, maintain, and analyze datasets powering LLM powered features. In this role, you will be instrumental in building and assessing the quality of data processed by our LLM production systems. Using new and existing data quality workflows and pipelines, you will collaborate closely with a cross functional team of engineers, research scientists, project managers, and data scientists to build datasets for, report on, and generally guide improvements on our LLM powered features, ensuring their accuracy and reliability in smart glasses applications.
Location : Sunnyvale, CA, Summary • As Product Lifecycle Analyst (PLM) at Client, you will take on a critical role in bringing AR/VR to our customers. You will work side-by-side with engineering and business teams that are leading innovation in this exciting new product category. • The PLM Analyst will support a variety of product projects through the entire product lifecycle including concept, prototype, new product introduction, and sustaining PLM activities. Product types include research, consumer intent, accessories, and service offerings. You must be flexible, responsive, and able to manage competing demands.
Role Summary: • We are seeking a Software Test Engineer experienced in verifying VoIP software applications, specifically those integrated with LMR systems. • The ideal candidate possesses a robust command of Windows and Linux operating systems, virtualization technologies, fundamental networking, and test automation.
Location (mandatory): Remote Client is seeking a strong AI Engineer to join our AI Research team; an organization focused on making research breakthroughs in AI. Join the core team defining the future of multimodal AI. You will build the data engines and evaluation platforms that power our frontier multimodal LLMs, transforming raw data into high-fidelity benchmarks that drive breakthroughs at Client-scale. You’ll ship high-fidelity reproducible breakthroughs and bridge frontier research into Client's product ecosystem to impact billions. You'll collaborate within an interdisciplinary group of scientists and engineers, leveraging world-class compute, data resources, and research facilities.