Top Software Engineer Jobs
The Advanced Software Engineer, AI at Avalanche will develop and implement key game systems and features for AAA games. The role involves collaborating with engineering, art, and design teams, performing code reviews, mentoring junior engineers, and managing programming tasks while staying updated on market trends and technologies.
The Embedded AI Architect at Motorola Solutions will work with technical partners and product managers to enhance customer experiences using cutting-edge technologies. Responsibilities include conducting proof of concepts, collaborating with various stakeholders, and supporting development teams in implementing feasible solutions.
The Principal Software Engineer will lead the design and implementation of robust data systems for GM's AI platform, focusing on efficient data ingestion, access, and processing. Responsibilities include building scalable data pipelines, guiding junior engineers, and ensuring system performance across cloud and on-premises environments.
The Principal Software Engineer for the AI Platform will design, develop, and maintain the AI/ML infrastructure. Responsibilities include enhancing platform capabilities for training ML models, resource management in multi-GPU environments, and collaborating with cross-functional teams to integrate new features.
The Principal Software Engineer will enhance and scale the infrastructure for Machine Learning workloads, optimize Kubernetes and Kubeflow deployments, streamline training infrastructure, and collaborate with cross-functional teams to resolve infrastructure issues.
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Canoe Intelligence is looking for an AI/ML Engineering Manager to lead a team of AI engineers. Responsibilities include guiding ML work, mentoring staff, managing cross-functional projects, and driving technical excellence. The ideal candidate has extensive experience in machine learning, particularly NLP, and a strong leadership background.
As a Software Engineer specializing in AI/ML interface development, you will build and optimize interfaces for AI tools, collaborate with cross-functional teams, design APIs, and ensure high performance of AI systems. You will also troubleshoot and improve existing systems while staying updated on AI/ML technologies.
As the Principal AI Engineer, you will lead the team in designing and implementing AI solutions for mental healthcare, focusing on LLM workflows, advanced prompt engineering, and AI infrastructure optimization. You will collaborate with cross-functional teams and mentor junior engineers to create innovative AI/ML applications that improve mental health outcomes.
Featured Jobs
The Chief Systems Engineer will lead systems engineering efforts for the Wargaming Program, transitioning prototypes into production. Responsibilities include risk management, team leadership, technology roadmap development, and fostering engineering innovation within the team.
The Chief Systems Engineer will lead systems engineering efforts for a Wargaming Program, guiding the transition of prototypes into production. Responsibilities include modeling systems of systems, risk management, talent assessment, and maintaining technology roadmaps, within a collaborative technical team.
As a Lead Software Engineer on the AI team, you'll design and implement complex software solutions, mentor junior engineers, collaborate with cross-functional teams, conduct code reviews, and resolve technical issues while driving innovation and improvements within the organization.
As a Solution Architect for Cloudflare AI/Developer Platform, you will collaborate with sales and technical teams to drive revenue and customer adoption. You will design solutions, provide technical guidance, and develop programs for success in the Developer Platform, while serving as a trusted advisor to clients and partners.
As an AI Application Architect, you will design and develop AI applications, focusing on enterprise search and digital assistants. You'll lead projects involving AI application orchestration, microservice architecture, and technology services that enhance information retrieval and digital workflows for ServiceNow's employees and customers.
We're seeking a Senior Staff Software Engineer to drive the design of our LLM service and build APIs. Responsibilities include working on platform scalability, researching generative AI techniques, collaborating with cross-functional teams, and overseeing prompt engineering. A strong background in backend engineering and machine learning is essential.
The AI Operations Specialist will evaluate AI-generated text for accuracy and relevance, conduct testing calls, document bugs, collaborate with teams to improve functionalities, and attract top talent. This role focuses on ensuring the quality of AI-driven products in housing and healthcare.
As a Python Software Engineer at Trumid, you will develop and maintain scalable software for analytics and trading operations, collaborate with other engineers and machine learning teams to optimize real-time systems, and mentor junior engineers in a fast-paced, innovative environment.
As a Principal Solutions Engineer, you will engage with clients to understand their needs and design tailored solutions. Your role includes developing innovative solutions, providing technical leadership, communicating complex concepts, and coordinating cross-functional projects to enhance the data cloud platform.
The Principal Software Engineer will lead the design and implementation of data ingestion and management systems for the AI platform. Responsibilities include developing scalable data platforms, automating ETL processes, and mentoring junior team members while enhancing developer productivity.
The AI Center Technical Manager will lead a team of ML engineers, focusing on AI model deployment and operationalization. Responsibilities include developing frameworks for AI operations, overseeing the deployment of ML solutions, ensuring code quality through DevSecOps, and collaborating with data engineers and scientists. The role requires hands-on coding and leadership to foster team growth and innovative AI practices.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
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.
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The Implementation Engineer - AI will provide technical direction and guidance to channel partners and drive innovation in AI solutions. Responsibilities include designing and deploying AI technologies, optimizing AI models, building relationships with partners, and creating technical content for marketing efforts.
The AI Scientist will develop and implement innovative deep learning methods for chemistry, collaborating with biologists and chemists to advance drug discovery. Responsibilities include initiating new projects and creating state-of-the-art AI models for molecular modeling.
As an AI Scientist, you'll be part of a core AI team focused on advancing state of the art AI models to impact drug discovery and clinical development. Responsibilities include developing new deep learning methods and collaborating with interdisciplinary experts, leveraging experience in AI innovations and publications in relevant fields.
The AI Research Engineer will work with interdisciplinary teams to develop AI models for drug discovery. Responsibilities include implementing and optimizing AI models, integrating them into scalable systems, and contributing to technical documentation and communication of findings.
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