Top Software Engineer Jobs

Lead and grow teams of machine learning engineers, data scientists, and software architects to deliver scalable AI/ML solutions. Engage with cross-disciplinary teams to enhance Nike's supply chain through innovative engineering practices. Advocate for best engineering practices and technology adoption, coaching engineers to elevate their skills and careers.

The position involves preparing and demonstrating an installation package for a modified RATE system in IL5 environments, focusing on processing Controlled Unclassified Information using wearable technology data. Candidates must showcase the feasibility and performance of the system through installation, testing, and demonstration within Department of Defense applications.

The Senior Software Engineer will work on generative AI-powered features, integrating AI solutions to enhance website building. Responsibilities include collaborating with teams, improving developer processes, and developing AI-driven functionalities to optimize user experience.

The AI Architect will develop and implement AI strategies, design AI/ML architectures, oversee model development for generative AI, and lead the integration of AI into production systems. The role involves collaboration with cross-functional teams to align AI initiatives with business goals while ensuring best practices in governance and ethics.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

AI Scientists at HHMI develop and execute AI-based research projects aimed at biological discoveries. They lead collaborative teams, oversee projects, explore new methods, and contribute to scientific publications. They work on a range of scales, from individual projects to large initiatives, and ensure coordination across teams.

The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.

The Senior Systems Engineer will support the DoD CDAO by providing technical leadership in the implementation of AI and data analytics initiatives, ensuring compliance with standards, developing prototypes, and documenting technical solutions.

The Senior Software Engineer will evaluate client requirements, architect and develop application solutions, and lead technical teams in project execution. Responsibilities include system analysis, integration of vendor applications, mentoring programming staff, and coordinating with IT areas to implement applications into production environments.

As an AI Research Engineer, you will collaborate with cross-functional teams to develop AI models aimed at drug discovery. Responsibilities include implementing and optimizing these models, integrating them into scalable pipelines, and contributing to technical documentation and presentations. You will leverage the latest AI techniques to tackle healthcare challenges and support the development of novel therapeutics.

The Lead AI/ML Scientist will develop and lead innovative AI and ML solutions, focusing on optimizing and deploying ML and NLP technologies. Responsibilities include directing a team of Data Scientists, collaborating with Product Management, and ensuring the performance and reliability of AI models, with a focus on solutions enhancing M&A processes.

You will design and implement data-driven solutions, create prototypes, and enhance existing products by collaborating with customers and colleagues. Responsibilities include maintaining data pipelines, driving AI model usage, and presenting findings to stakeholders.

The Applied AI Engineer & Researcher will innovate data strategies, develop algorithms, and enhance AI systems to accurately understand the universe. Responsibilities include collaboration with product teams and continuous improvement of Grok capabilities, integrating research techniques to maximize AI effectiveness.

The Tech Lead Manager will oversee fullstack product development for Glean’s Generative AI products, offering technical direction and coaching to engineers. Responsibilities include building a high-performing team, driving product development, mentoring engineers, and improving interview processes.

Unusual Ventures seeks a CTO/CoFounder to develop an enterprise AI product, requiring startup experience and a focus on user-friendly software. The role involves individual contributions in a collaborative environment.

The Engineering Manager for AI Data Quality will lead a team dedicated to ensuring high data quality through automation, oversee recruitment and team structure, drive the strategy for data quality initiatives, and implement processes aligned with organizational goals.

As a Senior Machine Learning Engineer at Box, you'll develop and implement machine learning capabilities using advanced techniques such as LLMs. Responsibilities include conducting experiments, optimizing algorithms, analyzing datasets for insights, and mentoring junior team members, all while staying updated with the latest in generative AI and machine learning.