Top Remote AI Engineer Jobs

The Senior Software Engineer II in AI Research will develop and implement AI technologies to advance drug development processes, collaborate with multidisciplinary teams, and scale AI models effectively while staying updated on trends in AI and software development.

As a Senior AI Engineer, you will develop prototypes and microservices, create MLOps pipelines, automate processes, and support AI workshops. Collaborating closely with teams, you will implement AI-driven solutions to improve business workflows.

As the Staff Applied AI Engineer, you will design and deploy AI agents for access management, architect AI infrastructure for scalability, collaborate across teams to align AI initiatives with business goals, and mentor team members in best practices for AI development.

Seeking a motivated AI Engineer to join an AI/ML based project. Responsibilities include developing AI/ML solutions using Python, ensuring project functionality, and working with enterprise-level applications in C#. Must have Python, OOP, Git, and English proficiency. Preferable skills include AI/ML frameworks, C# programming, data preprocessing, and database knowledge. Additional qualifications in Quart, asyncio, and RPA tools are a plus. Benefits include paid vacation, flexible schedule, and opportunities for development.

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.

The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.

As a Senior Staff Forward Deployed AI Engineer, you'll work with enterprise customers to modernize applications and implement AI solutions, influencing MongoDB's product roadmap and leveraging cutting-edge technologies.

The Principal Machine Learning Engineer will drive the development and implementation of machine learning algorithms, collaborate with product and engineering teams, design architectures, conduct experiments, and guide emerging ML engineers, ensuring the effective integration of AI across Atlassian's products and services.

The Solution Architect will partner with the sales team to drive Cloudflare's AI/Developer Platform solutions, presenting to customers and collaborating with cross-functional teams to refine product offerings. Responsibilities include guiding clients, developing proof of concepts, and enhancing sales strategies to increase revenue and customer adoption.

As a Solution Architect for the AI/Cloudflare Developer Platform, you'll collaborate with sales and technical teams to drive developer revenue, design innovative solutions, and present to clients. Your role includes advising on cloud computing, systems design, and engaging in product strategy to enhance customer adoption.

The Senior Principal Machine Learning Engineer will guide the development and deployment of advanced machine learning algorithms, collaborating closely with various teams to integrate AI functionalities across Atlassian products. Responsibilities include designing system and model architectures, conducting experiments, mentoring other ML engineers, and ensuring the effective use of AI in the product suite.

The Solution Architect for the Cloudflare Developer Platform will collaborate with sales and technical teams, helping customers understand AI and Cloudflare solutions. Responsibilities include presenting to clients, developing sales strategies, creating proof of concept demonstrations, and advising on technical solutions to enhance customer adoption and revenue.

As a Senior AI Engineer at Foresite Labs, you will develop AI-driven applications, integrating both structured and unstructured data focused on biotech challenges. Responsibilities include end-to-end development, method selection, and collaboration with engineering teams while deepening your understanding of biology and drug development.

The Senior Applied AI Engineer will design, develop, and deploy AI applications focusing on language models and general AI. Responsibilities include implementing production-grade AI solutions, improving application performance, and training the team on emerging technologies.

The Principal Software Engineer will design and implement data ingestion and processing systems for an AI platform, ensuring scalability and performance. The role involves developing data pipelines, automating ETL processes, and providing technical mentorship to junior engineers in a hybrid work environment.

The Principal Software Engineer in AI Platform will be responsible for developing and maintaining scalable infrastructure for AI/ML training, monitoring resource utilization in multi-GPU environments, enhancing platform usability for data scientists, and collaborating with teams to integrate features and technologies.