• Prototype and implement algorithms on BioIntelliSense’s devices to extract core vital signs • Research novel methods for vital sign signal extraction using high frequency sensor data • Work with product team to define algorithm requirements and test metrics • Iterate rapidly to develop algorithm prototypes and communicate performance tradeoffs • Port algorithms to C and optimize computations to meet processor and power constraints • Develop test protocols for data collection team, and perform QA to ensure the product meets the requirements • Ideate new tools to automate algorithm benchmarking and testing to improve team efficiency

• Own and operationalize privacy-by-design and privacy-by-default across all stages of the product development lifecycle from concept and architecture to development, deployment, and maintenance • Develop technical frameworks, design patterns, and implement standard and guidelines to ensure systems and applications inherently meet GDPR, HIPAA, EU Data Act, EU AI Act, and related regulatory requirements • Build and maintain a robust privacy engineering toolbox, including solutions for encryption, pseudonymization, data minimization, access governance, and secure data storage and transfer • Work with product owners and architects to translate regulatory requirements into concrete technical designs, system requirements, and acceptance criteria • Lead privacy impact assessments from a technical design perspective, identifying risks and defining mitigating controls • Mentor engineering teams on privacy-preserving design principles, coding standards, and architectural best practices • Be at the forefront of new regulations and standards to anticipate early requirements for our products • Serve as the technical authority for privacy topics, supporting audits, compliance assessments, and regulatory inquiries • Act as a cross-functional interface for Legal, Security, Quality, Engineering, and business functions to ensure alignment and clear communication

• Run, maintain, and optimize continuous integration / continuous delivery (CI/CD) build system environments, specifically Unreal Engine Horde and Jenkins. • Migrate legacy pipeline workflows from Jenkins to UE Horde. • Deploy and manage standardized Horde pipeline jobs for building on multiple platforms (PC, PS5, XBOX). • Configure, fix, and enhance build pipelines for optimal reliability and performance. • Automate build and pipeline processes using scripting languages such as Python, PowerShell, and Bash. • Proactively monitor system performance, identify bottlenecks, and implement solutions. • Create and maintain comprehensive documentation and standard methodologies for build system usage. • Collaborate closely with Perforce specialists to ensure flawless integration between build systems, tools, and source control. • Provide guidance, training, and support for teams using the Horde build system.

• As a Prompt Engineer, you will be responsible for designing and implementing the natural language processing (NLP) and machine learning (ML) models that power our web3 documentation chatbot • You will work closely with our product and engineering teams to ensure that our chatbot provides accurate and helpful responses to user inquiries • Design, develop, and implement custom generative LLMs (e.g. models similar to GPT) and discriminative LLMs (e.g. models similar to BERT) • Create wrapper apps based on ChatGTP and other LLMs • Design, develop, and implement systems for AI alignment, Reinforcement Learning with Human Feedback (RLHF) instruction models, and AI guardrails • Conduct rigorous tests to evaluate LLMs across standardized performance benchmarks and custom evaluations • Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems • Translate technical findings into clear, actionable insights for a non-technical audience • Develop and maintain documentation and best practices for our NLP and ML models • Collaboratively develop distributed training infrastructure to train and fine tune LLMs • Collaborate closely with our data science and core development teams, you will lead efforts in designing and implementing products from scratch • Collaborate with data science and core development teams to integrate AI technologies into both internal and external tools • Provide technical leadership in AI system audits, model accuracy improvements, and tool deployment • Fine-tune AI models based on real-world performance data and stakeholder feedback