SGS_JOB_3185
Contract - 6 Months
Location: New York, NY We are looking for a data analytics engineer who shares our passion for helping make our apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization. Key projects: Product Analysis, Bug Detection, And Resolution Typical Day in the Role: Data analysis, Collaboration with various teams, Communication of results, Reporting and Process Improvement, ensuring data accuracy and integrity to drive business growth and improvement while ensuring the reliability and safety. Interview Process: 2-3 Rounds (Technical)
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.