• Develop best-in-class real-time multimodal models and the orchestration platform optimized for thousands of queries per second. • Tackle unclear problems and find solutions that ensure performance, latency, and reliability as core product features. • Collaborate with global teams to design benchmarks or prototypes that uncover detailed insights on projects. • Ensure that all engineering outputs are stable and ship products that meet market needs.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

• Join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. • Partnering with your hiring manager, you: Design, build and maintain scalable infrastructure for ML models. • Collaborate closely with AI/ML teams to bring models reliably into production. • Manage model versioning, experiment tracking, and reproducibility. • Implement CI/CD for ML systems. • Ensure performance, reliability, and security of deployed models in critical environments. • Set up monitoring, logging, and alerting for model performance. • Sometimes you support field operations by acquiring sensor data on site and validating the technology through controlled field trials.

Orbis Education is changing the face of healthcare education. We specialize in accelerated degree programs focused exclusively on healthcare professions. By bridging the gap between healthcare systems and universities, we provide students with the tools necessary to meet the demands of healthcare employers. We leverage our expertise to expand universities’ pre-licensure healthcare programs, and ultimately, produce thousands of high-quality graduates ready to enter the workforce. Each and every Orbis team member plays a role in this process. The solution is working. We have successfully educated thousands of licensed professionals with unmatched outcomes. We pride ourselves on finding unique, genuine individuals who have a passion for education and thrive on creating a culture of excellence. Orbis is seeking self-motivated individuals who want to make an impact in the lives of our students. JOB SUMMARY The E-Learning Developer (ELD) works closely with Instructional Designers (ID) and the Quality Assurance (QA) team to create assets to facilitate student learning. The ELD uses e-learning tools to create learning objects, presentations, and videos, and will format documents for accessibility, create visual assets, and develop training materials for team members. Salary range is $45,000-$55,000 annually (DOE). DUTIES & RESPONSIBILITIES This position is responsible for creating and supporting online courses. This includes the following areas: 1. Convert and revise online higher education courses - Work with the ID to build new, and revise existing, online courses - Create and configure online courses on the LMS based on specifications in a design document from the ID - Work with the ID and Subject Matter Experts (SME) to identify areas of opportunity to improve instructional media or media development processes - Assist in quality analysis of online courses as needed - Use e-learning authoring tools to create/convert online course content or materials - Remain current with, and have a thorough understanding of the latest technology, tools, and trends in online education and instructional media - Develop ADA compliant course material 2. Provide training to Orbis team, students, and faculty - Contribute to job aids, process documentation, and training materials - Provide LMS training to students and faculty where necessary - Train internal staff on eLearning tools, LMS platforms, and other team-related procedures 3. Provide technical support to staff, students, and faculty - Work with the E-Learning Team to support course set up and maintenance each semester - Limited travel required with notice EDUCATION, EXPERIENCE & QUALIFICATIONS - Competencies: - Enthusiasm for helping others quickly resolve issues and comfort in a support role - High attention to detail and commitment to a quality product - Strong aesthetic design composition and typographic abilities - Beginner knowledge of fundamental e-learning authoring tools and/or online learning platforms - Excellent teamwork, communication, and organizational skills - Technologically independent and able to work as part of a virtual team - Flexible and able to track, prioritize, and follow up on multiple projects - Strong analytical skills and comfort in a fast-paced environment - Ability to build and manage relationships with staff, faculty, and students - Ability to quickly learn how to use e-learning authoring design/development tools (Adobe Creative Suite, Storyline, Lectora Publisher, etc.) - General understanding of ADA compliance standards and WCAG 2.0 - Preferred Experience: - Basic knowledge of or experience with learning management systems (LMS) and/or learning content management systems (LCMS) such as Canvas, Blackboard, D2L, ANGEL, Sakai, WebCT, Vista, etc., or content management systems (CMS) such as Wordpress, Drupal, or Joomla - Previous work in a support role - Any programming or database experience would be applicable - Education and Certification: - Bachelor’s degree in Educational/Instructional Technology, Interactive Media Design, Graphic Design, Instructional Design or a related field #INDLOPESUP