Profile large-scale training workloads and identify communication and computation bottlenecks.
Custom kernel development to improve training performance.
Enhance and maintain our training and inference codebases.
Poolside aims to be the company that builds a world where AI powers economically valuable work and scientific progress. Their team is a multidisciplinary blend of research, engineering, and business experts distributed across Europe and North America, fostering a culture of collaboration and hard work.
Evolve our kernel language to something that is usable both by developers inside and outside the compiler team and company
Design and implement backend compiler optimizations to efficiently map workloads onto heterogeneous architectures (CPU, NPU, and specialized accelerators)
Implement advanced optimization strategies across the compiler stack based on your experience, e.g.: Memory planning, tiling, vectorization, task partitioning, concurrency optimizations (compute and memory), etc.
Axelera AI is creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. The company has a world-class team of 220+ employees and is headquartered at the High Tech Campus in Eindhoven, Netherlands.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
Collaborate with Cohere’s Modelling Safety team on implementing novel research ideas.
Conduct cutting-edge machine learning research, training and evaluating production large language models.
Focus on research projects aimed at making models better understood, safer, more reliable, more inclusive, and more beneficial for the world
Cohere scales intelligence to serve humanity. They train and deploy frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search and agents. They are a team of researchers, engineers, and designers.
Develop and maintain system-level and application-level software for NVIDIA Jetson devices.
Implement and own OTA for our deployed device fleet.
Write Python application code for device control, edge logic, monitoring, and data flows.
Overview.ai is a 40+ person global startup. Their software engineering team is primarily based in Taiwan, and English is the working language, indicating a culture that values global collaboration and innovation.
Conduct fundamental and innovative development in low-cost yet powerful vision-language models (VLM), unified models, automatic model compression, optimization and deployement on cloud and edge.
Design or implement state-of-the-art techs on model compression, inference speedup, deployement on harwares, tool automation.
Contribute to library and tool development to support business; or Publish influential research in top-tier conferences and journals.
Sony Corporation of America is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony creates and delivers more entertainment experiences to more people than anyone else on earth.
Work within and learn existing models and codebase.
Explore and visualize multivariate RGA datasets to identify patterns and anomalies.
Critically evaluate model performance and potential improvements.
INFICON delivers innovative instrumentation, sensor technologies and software for enhanced productivity and quality in manufacturing. They employ a workforce that experiences ongoing green initiatives and flexible hours and is committed to ensuring equal opportunity to all job seekers.
Lead and manage a team of ML engineers, scientists, and researchers, fostering mentorship, development, and retention.
Execute the machine learning roadmap, focusing on 3D deep learning, computer vision, and generative AI applications.
Partner with product, engineering, and research stakeholders to align technical strategy with business objectives.
Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They appreciate your interest and wish you the best!
Work directly with CV researchers to understand their goals, review their code, and engineer it for reliability and performance at scale.
Profile and optimize performance-sensitive code across both training and real-time inference.
Identify patterns across research efforts and propose standardized, composable abstractions.
GameChanger believes in the life changing impact youth sports have on and off the field. By building the first and best place to experience the youth sports moments important to their community, they are helping families elevate the next generation through youth sports. They are a remote first, dynamic tech company based in New York City, and they are solving some of the biggest challenges in youth sports today.
Collaborate with internal stakeholders to understand their goals and objectives, enabling data-driven decision-making across the organization.
Utilize programming skills to explore and analyze data; identify patterns, trends, nuances, and potential data quality issues within complex datasets.
Apply supervised and unsupervised machine learning techniques to extract insights from data; communicate analysis findings and conclusions effectively to both technical and non-technical stakeholders.
RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon, and employs 195,000 employees that enable the company to operate at the edge of known science.
Provide structured feedback to improve AI understanding.
Design job-related coding questions and review AI responses.
Handshake is connecting students to early talent opportunities. They provide a platform for students to find jobs and internships and for employers to recruit talent.