Location: Menlo Park, CA (Hybrid) Client is seeking Research Engineers to join AI Research team. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale

We are seeking a motivated and detail-oriented recent graduate to join our Manufacturing and Quality Engineering team. This is an excellent opportunity for individuals looking to launch their career in manufacturing, quality assurance, process improvement, production engineering, or industrial operations. The selected candidate will work closely with cross-functional teams to support manufacturing processes, quality initiatives, production activities, and continuous improvement projects.

• We are seeking a Software/Solution Engineer to support the Human Agentic Review Platform onboarding pod with integrating new products into Client Scaled Review Tooling (SRT) systems. • This role focuses on onboarding work — handling the growing volume of new product ↔ SRT integration requests — so the core engineering team can stay focused on platform development. • It is a cross-functional role requiring close coordination with engineering and XFN (cross-functional) partners.

Location: Sunnyvale CA - Onsite Client is building products that make it easier for people to connect with the ones they love most. As a prototyping electrical testing engineer in Prototyping & Concept Team, you will employ your expertise in building and testing prototypes and supporting engineering teams that require you to collaborate with teams within Hardware Engineering, Research and Development, and Industrial Design. The team is responsible for rapidly building and iterating polished high-fidelity prototypes and development platforms that bring new ideas to life by expressing design intent and user experience - using the best and most appropriate tools and techniques for the task.

• This role sits in GO Analytics – Global Response Ecosystem, the team that provides trusted data foundations for Client's global operations and response organizations. The contractor will support a mix of high-priority work: (1) workforce measurement – building datasets that track capacity, staffing, and productivity across response teams; (2) response ecosystem reporting – maintaining and improving core reporting used by operations leaders for real-time and weekly decision-making; and (3) pipeline backfill and automation – hardening legacy pipelines, backfilling historical data, and automating manual workflows to improve reliability and self-serve. This backfill + automation work is critical to free up FTE bandwidth for strategic analytics and to provide coverage for an FTE who is on leave.

• Data Operations runs large-scale robot teleoperation and wearable data collection used to train robot manipulation models. The team builds the data pipelines, reporting infrastructure, and operator-facing tools that give the organization visibility into how much data is being collected, how efficiently, and at what quality. • We are hiring an experienced Data Engineer to design, build, and own the data models, pipelines, and reporting that this operation runs on. Today a meaningful amount of operational reporting is assembled by hand; a significant part of this role is replacing that with automated, trustworthy systems. • This is an embedded, high-visibility role rather than a ticket-queue role. You will work directly with robot operators, site leads, and program managers, translate their questions into durable data models, and own the numbers that appear in leadership reviews.

Lead GenAI Engineer (Senior Role) focused on Agentic Content-Application Architecture and Orchestration. The goal is to design and build a stateful, headless GenAI application that helps commercial marketers create grounded and personalized content. The application will coordinate multiple agents and enterprise services, maintain conversational and project state, and generate structured JSON or HTML content blueprints that downstream platforms can assemble into finished assets. This is a hands-on senior contractor who must propose the architecture, make key technical decisions and code critical components—not a coordination-only lead.

Location: Redmond, WA (Onsite) The Client's Team brings 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. We are developing all the technologies needed to enable breakthrough AR glasses, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. The Audio team believes that by redefining human hearing and developing auditory machine intelligence, our research will overcome the barriers of distance, noise, and hearing ability to enhance human connection and communication. Through our Superhuman Communication and Connection initiative, we develop and mature audio technologies for AR glasses and wearables, from early research through tech transfer to the product teams that ship them. We are seeking a contract ML Software Engineer to bring state-of-the-art machine learning out of the lab and onto the device. Research models only matter to our prototypes if they run in real time, within tight compute, memory, and power budgets, on the embedded hardware that powers wearables. This role sits at that boundary: you will train and adapt models alongside research scientists, then own the work of optimizing, porting, and running them efficiently on embedded targets. The ideal candidate is equally comfortable in a PyTorch training loop and in a C/C++ inference runtime on a resource-constrained device. They understand that on-device ML is a co-design problem, where model architecture, quantization, and the target hardware all shape one another, and they can make the trade-offs required to get a research model running on real hardware quickly. Familiarity with audio ML, computer vision ML, or audio DSP is a strong plus, as many of our models operate on multimodal (audio and visual)

Job type: 3-Month Contract; High Possibility Of Extension Weekly day range: Monday–Friday Shift Time: Standard business hours; exact shift not specified Quality Engineer II will support day-to-day business operations at the Columbia, MD site by working closely with Engineering and Operations teams on quality systems, change management, investigations, validation, preventive maintenance, calibration, environmental monitoring, and quality documentation. GMP experience in controlled/regulated environments is required, with Data Integrity experience being a major plus.

Location:- Redmond, WA / Sunnyvale, CA (Onsite) Own and sustain a family of production machine learning models. Day to day responsibilities include maintain ML models’ inference services and evaluation pipelines, integrate models into internal tools, and support the users and tooling owners using models. Tech stack: Python, PyTorch, Bento (Jupyter-style notebooks), Client's internal model-serving and always-on inference capacity, REST/GraphQL-style endpoints, and a lightweight web UI.

Location:- Mount Juliet, TN 37122 The role is responsible for managing the installation and setup of fabrication equipment, including punch/laser machines, press brakes, epoxy and paint lines, and related manufacturing equipment. The position will coordinate with cross-functional teams such as Safety & Environment, Facilities, Maintenance, Production, and Quality to ensure equipment and production processes are implemented on schedule. The role will also oversee quality performance, identify process improvement opportunities, manage production quality issues, and support continuous improvement and quality system initiatives

Work with a team of engineers to implement new features into Gaming Product, including integrating new platform services, game content, and more. Own major areas of the codebase -- maintain improve code quality and stability. Optimize various systems for best performance across platforms.