Top AI & Machine Learning Jobs

The AI Creator develops POCs and MVPs using AI tools, ensuring alignment with business needs and maintaining quality documentation. Collaborates with other team members to produce functional prototypes and enhances development processes.

As a Senior AI Research Scientist, you will develop AI solutions for video and multimodal retrieval, lead research efforts, and mentor junior scientists.

The role involves developing AI-centric software, collaborating with FinTech products, and improving engineering operations at Tight during their growth phase.

The Senior Applied Scientist will research and engineer NLP solutions, design algorithms, train LLMs, and contribute to platform development.

The role involves building and optimizing display technologies for AI antibody design, data generation for AI model training, and characterizing proteins, requiring strong collaboration and technical skills.

Lead AI Inference team, architect LLM inference pipelines, mentor developers, optimize KV cache management, integrate serving engines, and conduct R&D.

The Machine Learning Engineer designs, builds, deploys, and maintains machine learning models, optimizing their performance for business value. Responsibilities include managing ML pipelines and collaborating with data teams to implement MLOps best practices.

As a Founding Machine Learning Engineer at Trove, you will develop AI applications for financial firms, focusing on data retrieval and knowledge graphs. Your role involves designing algorithms and collaborating with elite AI labs to enhance human-level capabilities in GenAI.

The Machine Learning Researcher will build predictive models using deep learning, explore strategies to enhance portfolio performance, and update models based on research. They should have a strong foundation in ML with hands-on experience in relevant domains.

The Senior AI Software Engineer will build AI evaluation systems, focusing on deployment and orchestration workflows, data pipelines, and integration of AI frameworks, collaborating across teams for effective system evaluations.

The role involves designing experiments to characterize silicon spin qubits, performing electrical measurements at cryogenic temperatures, and analyzing device performance data.