Top Software Engineer Jobs

As a QA Annotator, you will review, label, and ensure quality of data for AI projects, providing structured feedback and identifying errors.

As a QA Annotator, review and ensure quality on AI-generated projects by annotating data, providing feedback, and flagging issues for accuracy.

As a QA Annotator, you will review provided data, ensure quality control, and label content while working on AI projects.

Interns will support air traffic management programs by assisting in system engineering tasks, software development, and applying AI/machine learning concepts.

As a QA Annotator, review and label data for AI projects, ensuring quality and accuracy while providing constructive feedback to the team.

Lead the design and implementation of AI-powered tools to enhance engineering productivity and code quality across large teams, collaborating with engineers to validate solutions and promote best practices in software development.

The role involves integrating AI into products, designing multi-agent systems, and improving customer experiences through collaboration and innovation.

The role involves designing AI systems to enhance payroll experiences, collaborating with teams to automate workflows, and iterating on AI features for better customer outcomes.

As Engineering Manager, you'll lead the AI/ML platform team by providing technical leadership, driving operational excellence, and fostering a high-performing team culture. You'll manage stakeholders, align strategies, and oversee complex initiatives for successful AI/ML infrastructure delivery.

Lead architecture and development of security features for AI platform, focusing on cryptographic services, identity management, and cross-team collaboration.

The Engineering Lead will guide a team in developing Generative AI-powered applications while ensuring Agile processes and software excellence. Responsibilities include architecture design, team mentorship, and collaboration with cross-functional teams.

Seeking a Senior Software Engineer to lead backend development for AI-driven mental health products, designing scalable systems and collaborating with cross-functional teams.

The Staff Software Engineer will lead backend development, focusing on AI integration and create frameworks to enhance mental health care through technology and innovation.

Lead Compa's Applied AI team, overseeing ML projects and initiatives. Collaborate cross-functionally and ensure delivery of production-grade AI systems.

Lead and build an Applied AI Team, overseeing ML initiatives, infrastructure alignment, and collaborating with cross-functional teams to deliver ML systems.

Design, build, and maintain full stack web applications while collaborating with teams to implement AI integrations and automation solutions.

As a QA Annotator, you will review data, ensure quality control, label content, and identify inaccuracies in AI-generated outputs based on project guidelines.

As a QA Annotator, you will review, label, and classify data related to AI projects, ensuring quality control and evaluating accuracy.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

Lead the development of internal tools and AI agents, manage integrations across business systems, and drive automation initiatives. Collaborate with various teams to enhance business operations using modern technologies.

As a Software Engineer II on the AI Platform team, you'll develop backend features, build scalable services, and collaborate across teams to integrate Generative AI into WHOOP’s product offerings.

As a Senior Software Engineer on the AI Platform team, you will design and scale systems for WHOOP's Generative AI capabilities, focusing on robust backend services and tools, collaborating across teams, and mentoring junior engineers.

The Fullstack AI Engineer will handle end-to-end ownership of product features, adapt AI models, and collaborate with teams to improve healthcare solutions.

Seeking a Senior Mobile Engineer to develop iOS and Android apps, enhance AI-enabled mental health experiences, and shape engineering practices.

As a Staff AI Data Engineer, you will build and maintain data pipelines for ML/AI tools, ensuring high-quality datasets and collaborating with data scientists to enhance mental health care.