Top Software Engineer Jobs

The Senior Solutions Architect will lead AI/ML projects, educate clients, and create custom software solutions. Responsibilities include conducting technical assessments, producing project estimates, collaborating on documentation, providing technical training, and leading workshops. The candidate will need strong cloud platform expertise and AI/ML knowledge to ensure successful project implementations that drive business value.

The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.

As a Research Scientist at Deepgram, you will innovate and build advanced voice AI solutions, utilizing deep learning to train models that interpret speech and comprehend text. You will drive large-scale training, optimize models, and collaborate with product and engineering teams to deploy AI capabilities.

The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.

Develop and implement custom GenAI models for various supply chain challenges, manage large datasets, train and evaluate models, deploy models into existing systems, collaborate with cross-functional teams, stay updated on GenAI technologies, and contribute to research and development.

As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.

As an Applied AI Scientist at ZS, you will develop advanced algorithms for high-dimensional problems, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership through research and publication.

The Staff Software Engineer will integrate emerging AI technologies and build proprietary developer tools to enhance member experiences at Spring Health. Responsibilities include collaborating in a team, mentoring engineers, and providing technical direction to the organization.

As a Senior Software Engineer at Spring Health, you'll integrate AI technologies into member experiences, build developer tools, and innovate on feature roadmaps. You'll be a technical leader, collaborating with engineers, PMs, and designers to deliver high-quality experiences efficiently while mentoring team members.

As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.

The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.

The Senior Director of Data will lead a multidisciplinary data organization focused on analytics, data infrastructure, and AI initiatives. Responsibilities include building data strategies, managing a team of data professionals, and ensuring effective use of customer data while partnering across the organization to optimize product features.

The Generative AI Engineer will lead the development of generative AI solutions, design and implement chat experiences, develop backend code in Python and Java, and ensure quality, stability, and performance of chatbot functionalities while collaborating with cross-functional teams.

The Senior Data Scientist will collaborate with a cross-functional team to design, develop, and deploy analytic models and high-impact data solutions in motorsports, leveraging machine learning and AI to support race teams. Responsibilities include analyzing and preprocessing diverse data, building predictive models, and presenting findings through visualization techniques.

The role involves coordinating with government and contractor teams to implement AI/ML technologies in space systems. Responsibilities include identifying opportunities in acquisitions, developing governance strategies, and enhancing infrastructure for optimized utilization of AI/ML. The engineer will facilitate communication with stakeholders and support various phases of system integration and testing.

The Staff AI Application Architect will lead the design and development of AI applications, focusing on enterprise search and digital assistants. Responsibilities include orchestrating AI services, building scalable microservice architectures, and enhancing information retrieval and workflow experiences across the organization.

As a Software Engineer, you will develop and maintain scalable interfaces for AI/ML tools, ensuring integration with user-facing applications. Responsibilities include collaborating with cross-functional teams, designing APIs and microservices, implementing software development best practices, and troubleshooting existing systems to enhance performance.