About the Company: We are a well-funded, rapidly growing, early-stage AI startup headquartered in Silicon Valley that is building a two-sided product - one side meant for global consumers and the other side for AI builders and researchers. We work on the cutting edge of AI across the stack. Check out our product that was launched recently, and how it solves the foundational challenge of robust and trustworthy AI model evaluations. Here's more information about us. Job Summary : We are seeking a highly skilled and motivated Applied AI researcher to join our innovative team. The ideal candidate will have a strong background in modern LLM architectures and applications, and experience in using GenAI approaches in an applied, production environment. Responsibilities Research and track emerging trends in GenAI and LLM advancements to identify potential applications within the company. Design, build, and maintain LLM-based applications and solutions. Optionally manage the full ML lifecycle, including data analysis, preprocessing, model architecture, training, evaluation, and MLOps. Collaborate with product engineers, designers, and data scientists to define and deliver cutting-edge AI solutions. Convey complex technical information clearly to audiences with varying levels of AI expertise. Troubleshoot and debug AI applications to resolve performance and accuracy issues. Write clean, maintainable, and well-documented research and production code. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field (Ph.D. or equivalent experience is a plus). Minimum of 3 years of experience in machine learning, with a track record of deploying AI models in real-world applications. Strong programming skills in Python and familiarity with libraries such as PyTorch, TensorFlow, NumPy, and JAX. Deep understanding of machine learning algorithms, data structures, and model evaluation methods. Excellent communication and presentation skills, with the ability to explain design decisions to both experts and non-experts. Strong analytical skills and ability to work independently and collaboratively in fast-paced environments. Preferred Qualifications Authored or co-authored research papers in reputable AI/ML conferences or impactful technical blog posts. Active participation in open-source AI/ML projects, Kaggle competitions, or similar initiatives. Experience working in startup or small, fast-paced environments.
As a Frontend Engineer at Yupp, you will play a crucial role in developing and maintaining high-quality, scalable, and efficient frontend code using React/Next.js. Your passion for creating user-friendly interfaces and design skills will be put to the test as you collaborate with UX designers to implement visually appealing designs. You will work closely with backend engineers to ensure applications are optimized for speed and scalability. Your problem-solving skills will be key in troubleshooting and debugging issues as they arise. **Key Responsibilities:** - Develop and maintain high-quality, scalable, and efficient frontend code using React/Next.js - Collaborate with UX designers to design & implement visually appealing and user-centric designs - Optimize applications for maximum speed and scalability - Ensure the technical feasibility of UX designs and provide feedback on design improvements - Write clean, maintainable, and well-documented code - Conduct code reviews and provide constructive feedback to team members - Stay up-to-date with emerging technologies and industry trends - Troubleshoot and debug issues in a timely manner - Collaborate with backend engineers to integrate APIs and other services **Qualifications:** - Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent experience) - Proven experience as a Frontend Engineer or similar role with 3+ yrs of experience - Proficiency in HTML, CSS, TypeScript, and React - Familiarity with responsive design principles and Tailwind CSS - Understanding of RESTful APIs and asynchronous request handling - Familiarity with Git for version control - Strong problem-solving skills and attention to detail - Excellent communication and teamwork skills **Preferred Qualifications:** - Experience with NextJS - Experience with Playwright for automated testing - Experience with running experiments and tracking analytics with Amplitude - Experience with Sentry for monitoring and detecting errors - Experience with web performance optimization techniques - Understanding of accessibility best practices,
Role Overview: As a part of the team at Yupp, you will have the opportunity to work in a well-funded, rapidly growing early-stage AI startup headquartered in Silicon Valley. You will be contributing to building a two-sided product that caters to global consumers and AI builders/researchers. Working at the cutting edge of AI technology, you will be involved in creating novel products that address the foundational challenge of robust and trustworthy AI model evaluations. Key Responsibilities: - Research and track emerging trends in GenAI and LLM advancements to identify potential applications within the company. - Design, build, and maintain LLM-based applications and solutions. - Optionally manage the full ML lifecycle, including data analysis, preprocessing, model architecture, training, evaluation, and MLOps. - Collaborate with product engineers, designers, and data scientists to define and deliver cutting-edge AI solutions. - Convey complex technical information clearly to audiences with varying levels of AI expertise. - Troubleshoot and debug AI applications to resolve performance and accuracy issues. - Write clean, maintainable, and well-documented research and optionally production code. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (Ph.D. or equivalent experience is a plus). - Minimum of 3 years of experience in machine learning, with a track record of deploying AI models in real-world applications. - Strong background in modern LLM architectures and applications, and experience in using GenAI approaches in an applied, production environment. - Strong programming skills in Python and familiarity with libraries such as PyTorch, TensorFlow, NumPy, and JAX. - Deep understanding of machine learning algorithms, data structures, and model evaluation methods. - Excellent communication and presentation skills, with the ability to explain design decisions to both experts and non-experts. - Strong analytical skills and ability to work independently and collaboratively in fast-paced environments. Additional Details: Yupp is a mostly in-person startup with a flexible working environment that allows you to work from home when needed. The company values innovation and offers the opportunity to work with some of the smartest and most seasoned colleagues in the industry. If you are enthusiastic about working on challenging, large-scale problems at the forefront of AI technology, Yupp provides the platform to make a significant impact in a rapidly evolving market.,