• Lead the creation of differentiable CFD frameworks in JAX, extending capabilities to complex geometries and non-periodic boundary conditions using immersed boundary methods • Design, implement, and containerize code (Docker/enroot) to ensure reproducibility and scalability across multi-node GPU HPC environments • Develop optimized parallel linear solvers (FFT or matrix decompositions) and gradient-based scripts to iteratively modify reactor designs based on catalyst activity • Rigorously validate simulation accuracy against benchmark results and fixed-bed reactor configurations for both non-reactive and reactive flow regimes • Partner with AI model developers to integrate property predictions and generate comprehensive technical reports summarizing algorithm scalability and differentiability

• Research, design and build high-fidelity proof-of-concepts for upcoming features • Serve as a bridge to the Product Engineering team, providing cryptographic guidance, code reviews, and troubleshooting for complex protocol-level issues • Uphold rigorous security standards and best-practice cryptographic principles before they transition to production • Own and maintain key R&D initiatives and drive community contributions • Work closely with clients and partners, helping them to navigate and implement post-quantum migrations • Monitor the evolving blockchain and post-quantum cryptography landscape, identifying emerging threats or new primitives for adoption • Translate complex concepts into digestible technical blog posts, documentation, and whitepapers solidifying P11's thought leadership in the space

This role is for one of our clients Compensation: $30-$80 per hour Experienced psychologists are invited to contribute to a high-impact AI research collaboration with a leading artificial intelligence research organization. This project focuses on evaluating and enhancing AI system performance across psychology-related domains, including clinical, cognitive, developmental, and social psychology. This opportunity is well-suited for professionals with strong academic training and practical expertise who can critically assess reasoning quality, conceptual depth, and ethical considerations in AI-generated content.

About Us Sequen AI is leading the charge for building frontier ranking models for search and recommendations. Sequen AI's technology specializes in designing end-user behavior for large consumer enterprises. The Role We’re looking for a Senior Research Engineer with expertise in search and recommendation modeling to help us design, develop, and scale innovative ranking, embedding and retrieval models that power our personalized discovery platform. In this role, you’ll have the opportunity to work on impactful projects, from enhancing recommendation ranking systems to building search retrieval models, all while contributing to the underlying data pipelines and infrastructure. This is an ideal role for someone eager to grow their skills, take ownership of complex systems, and be part of an agile, fast-paced environment. What You'll Do Develop & Optimize Ranking Models : Build, train, and deploy advanced search and recommendation models using Deep Learning techniques. Data Engineering : Design and implement data pipelines to process large-scale datasets, ensuring models are fed with high-quality, reliable data. Infrastructure : Work with tools like Kubernetes, Airflow, and AWS to manage scalable model deployment and experimentation environments. What We’re Looking For Experience : 5+ years of experience as an ML Engineer or similar role, with a focus on deep learning for search, recommendation, or related applications. Technical Expertise : Proficient in PyTorch, Deep Learning, and Spark, with a strong foundation in machine learning theory and algorithms. Data Engineering Skills : Hands-on experience with data pipelines and processing large-scale datasets. You'll design and optimize data pipelines using tools like Spark, Airflow, and dbt across GCP and AWS. Infrastructure Knowledge : Some familiarity with tools such as Kubernetes, Airflow, Terraform and cloud platforms like AWS for deployment and scalability. Problem Solver : Strong analytical and critical thinking skills, with a passion for tackling open-ended challenges. What We Offer A collaborative and innovative work environment at the forefront of ML and AI. Opportunities to make a direct impact on product and technology direction. Annual Salary : $280,000—$350,000 USD (based on experience) + Equity Health insurance, unlimited time off, awesome team If you’re excited about building next-generation search and recommendation systems and growing your expertise in a dynamic startup, we’d love to hear from you!