Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves collaborating with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
This role involves leading the development and deployment of machine learning models that power the firm's trading systems. Responsibilities include setting the long-term vision for the model portfolio, designing training pipelines, building explainability tools, and mentoring a team of ML researchers. The position requires deep expertise in modern ML methods, real-time systems, and quantitative finance.
This role involves advancing drug discovery through the application of Large Language Models (LLMs) in a cutting-edge AI environment. The Research Scientist will develop and refine LLM-driven approaches for complex biological and medical challenges, collaborating across disciplines to build transformative AI models. Work includes model development, training, and deployment, with a focus on innovation in computational biology and chemistry.
A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to advance drug discovery at Isomorphic Labs. The role involves interdisciplinary collaboration with scientists and engineers to design, train, and scale AI systems that model complex biological and chemical problems. The position emphasizes innovation in model architecture, experimentation, and the application of cutting-edge machine learning to accelerate the development of life-changing medicines.
This role involves developing and optimizing AI-driven conversational shopping experiences using large language models, multimodal data, and NLP. The data scientist will analyze customer interactions, build predictive models, and design experiments to improve product discovery and recommendations. Collaboration with engineers and scientists is key to deploying scalable machine learning solutions in a high-impact environment.
This role involves working at the intersection of AI, cognitive science, and human-machine interaction, focusing on building intuitive and adaptive AI systems. Responsibilities include technical research, client project delivery, and developing innovative human-interactive technologies across various industries.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science and product development team. Focus on optimizing ML infrastructure for scalability and efficiency while collaborating on AI solutions for complex healthcare-related problems. Engage in knowledge sharing by presenting advancements in AI/ML to internal teams.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, while optimizing infrastructure for scalability and efficiency. Collaborate with data scientists and product teams to deliver AI solutions for complex healthcare challenges, leveraging distributed systems and advanced MLOps practices. Stay current with advancements in AI and share insights across the organization.
As a Data Engineer at Clariti AI, you will play a key role in improving the production quality of the company's price optimization software. Responsibilities include building and optimizing ETL/ELT pipelines, scaling infrastructure, and collaborating with clients on pricing decisions. The role offers significant growth opportunities and involvement in various aspects of the business.
