Top Software Engineer Jobs

The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.

As an AI Research Associate-Synthetic Data, you will collaborate on research projects, focusing on formulating problems, gathering data, developing models, conducting experiments, and building prototype applications. Your work will contribute to high-impact business applications and can lead to open-source software, patents, or AI/ML publications.

The Vice President of Applied AI/ML will lead the AI/ML team, guiding projects that solve business problems for JPMorgan's Global Banking. Responsibilities include mentoring team members, collaborating on technical vision, delivering projects through Agile methods, and aligning stakeholders while ensuring timely delivery of AI/ML solutions.

The Executive Director of Applied AI/ML will lead a local AI/ML team, set technical vision, manage projects through Agile methodology, and align with cross-functional stakeholders while fostering an inclusive team culture.

As a Data Engineer, you will build and operationalize complex data solutions, analyze data sources, design data solutions, and collaborate with teams to enhance data products. You'll leverage your analytical skills to modernize data practices and ensure data quality.

The AI Research Engineer will develop state-of-the-art AI models for drug discovery, optimizing model training and inference on GPUs, while collaborating with AI scientists and drug discovery experts. Responsibilities include profiling AI models, staying updated on AI advancements, and providing technical leadership in model optimization.

The Lead Machine Learning Engineer will spearhead the delivery of machine learning models and solutions in collaboration with cross-functional teams. This role requires strong expertise in machine learning engineering practices, along with proficiency in programming and deployment workflows. Responsibilities include empowering product and engineering teams with data-driven insights and best practices in machine learning.

As a member of the Sales Engineering team, you will act as a trusted advisor, collaborating with account managers to understand client needs, conducting network architectural reviews, and delivering product presentations. You will utilize your expertise in network design and implementation to create scalable solutions, conduct hands-on testing, and ensure successful deployment of Arista network solutions.