Top Software Engineer Jobs

The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.

Lead the strategic vision and organization of the Cybersecurity and Advanced Platforms Subdivision, fostering innovation and integration of new technologies across the space enterprise while impacting mission-critical systems for various customers.

The Principal Director for Cybersecurity and Advanced Platforms at Aerospace will lead strategic vision and implementation of innovative cybersecurity and technology solutions in the space domain. Responsibilities include overseeing a team of over 120 experts, developing new capabilities, and integrating advanced technologies across the space enterprise while ensuring strong collaboration within the organization.

As an Applied AI Scientist at ZS, you will develop advanced algorithms for data analysis, execute statistical techniques, evaluate emerging datasets, and contribute to thought leadership by researching and publishing on relevant topics.

As the Head of AI, you will define and lead the long-term vision for AI at Remitly, overseeing teams that build machine learning applications. You'll partner with various leaders to scale AI opportunities and drive adoption of best practices, thereby enhancing customer experience and business profitability.

As an Applied AI Scientist at ZS, you'll develop advanced algorithms to solve complex problems, execute statistical techniques on large data sets to extract trends, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership through research and publications.

As an AI Researcher at DRW, you will develop and test AI models and algorithms, construct data pipelines, evaluate model performance, and collaborate closely with your team. You will also stay informed on the latest AI techniques and contribute to improving research processes, all while receiving mentorship and participating in a robust training program.

You will partner with a cross-functional team to deliver AI-powered products, designing and supporting AI software components, leveraging various AI technologies, and contributing to the technical vision of foundational AI systems.

The Lead Software Engineer will design, develop, and implement advanced contact center platforms focusing on self-service capabilities, manage contractor teams, and automate CI/CD processes. Responsibilities include coding, system performance monitoring, and enforcing security practices while collaborating with cross-functional teams and guiding technical direction.

Design and develop intelligent conversational AI experiences using Node.js and Google Cloud. This includes integrating data science principles and Generative AI to enhance customer engagement through virtual agents and chatbots, while adhering to cloud architecture best practices and implementing CI/CD for deployments.

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.