Top Data & Analytics Jobs

As a Machine Learning Engineer, you will develop and deploy machine learning models to tackle complex business problems. Responsibilities include collaborating with cross-functional teams, analyzing data, optimizing models, and ensuring production-quality deployments while staying updated on machine learning advancements.

As the Lead Machine Learning Engineer, you will develop and implement machine learning models for digital advertising performance, collaborate with software engineers, innovate ML solutions, mentor a growing team, and ensure models are effective and scalable.

Manager of Generative AI team responsible for managing and leading researchers and engineers. Leverage expertise in LLMs and generative models to create AI roadmap. Work on cutting-edge technologies and collaborate with professionals.

Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.

The AI Senior Data Scientist will develop and deliver Generative AI solutions, collaborating with cross-functional teams. Key responsibilities include applying advanced AI techniques, ensuring high-quality data integrity, coaching junior members, and designing innovative solutions to complex business problems.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models using large amounts of structured and unstructured data. The role involves understanding business risks and delivering actionable insights through your projects, while collaborating with product management and software engineers in a fast-paced environment.

The Machine Learning Engineer will optimize AI inference systems, develop runtime inference services, and collaborate with teams to enhance AI capabilities. Responsibilities include designing production systems, conducting code reviews, and implementing robust data processing systems.

The MLOps Engineer will develop systems and APIs for inference and fine-tuning of large language models, implement runtime systems for production-level ML training, and collaborate with various teams for deploying and maintaining ML inference systems.

As an ML Engineer at Together AI, you will develop a platform for customizing open-source models, collaborate with product and research teams, ensure API reliability, and contribute to the open-source AI ecosystem. Key responsibilities include building systems, creating tooling, ensuring stability, analyzing methods, and developing new features. Ideal candidates have 2+ years of ML deployment experience, knowledge of fine-tuning methods, strong Python or Go skills, and a passion for reliable tools. Standout experiences include large-scale system development, advanced fine-tuning methods, open-source contribution, and ML workload management on Kubernetes.

Research and build the next generation AI platform at Together AI, design large-scale distributed training systems and low-latency/high-throughput inference engine, stay up-to-date with latest advancements in machine learning systems.

AI Researcher responsible for developing novel architectures, system optimizations, and algorithms to push the frontier of open models. Collaborate with cross-functional teams and stay updated on the latest advancements in machine learning. Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field required.

The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks. Responsibilities include working with large datasets, collaborating with product management and software engineers, and guiding projects through a two-week sprint cycle.

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.

As a Machine Learning Scientist, you will drive research in generative modeling technologies for biomolecular design, develop deep learning methods for protein prediction, curate datasets, and collaborate with biology teams. The role requires implementing and analyzing computational approaches and shaping the scientific vision of the company.

As a Principal Data Analyst, you will evaluate TV data, develop measurement models and systems, and apply statistical modeling to enhance campaign performance using TV viewership data. You will partner with various teams to deliver analytics and improve measurement solutions on Nexxen's data platforms.

As a Senior Machine Learning Engineer at Radiant Security, you will design and develop scalable ML solutions for SaaS applications. You will collaborate with data scientists, manage ML lifecycle, ensure efficient model serving, and maintain data integrity, while keeping up with the latest technologies to enhance outcomes.

The role involves developing generative models and algorithms for protein design, scaling systems for data utilization, collaborating with lab teams, and engineering ML systems for therapeutic applications.