Top Software Engineer Jobs

The Applied AI Engineer will onboard customers on Mistral AI products and APIs, manage relationships with stakeholders, and ensure effective integration in production settings. Responsibilities include deploying AI applications, collaborating with researchers and product engineers, guiding technical aspects during pre-sales and implementation, and contributing to open-source projects.

The AI scientist will modify and fine-tune large language models to improve human interaction, enable external tool calling, manage model alignment based on deployment feedback, and engage in model pre-training. Strong expertise in generative AI and MLOps is essential, along with proficiency in AI frameworks like TensorFlow and PyTorch.

Senior Cloud Engineer responsible for building a highly available, global, multi-cloud PaaS platform for AI workloads. Must have experience with infrastructure-as-code, cloud microservices architectures, Kubernetes, and software development fundamentals.

AI Researcher responsible for developing novel architectures, system optimizations, and algorithms to push the frontier of open models. Collaborate with cross-functional teams and stay updated on the latest advancements in machine learning. Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field required.

In this role, you will develop tech roadmaps for Large Language Models, focusing on LLM deployment and integration into AI products. Responsibilities include designing and optimizing LLM-based systems, fine-tuning models, and integrating with Agentic platforms. You will work with cross-functional teams to drive AI initiatives aligned with business objectives.

The Data and AI Architect will design and implement data-driven solutions and AI models, focusing on the Salesforce platform. Responsibilities include developing data architectures, leading machine learning projects, enforcing data governance, collaborating with cross-functional teams, and mentoring staff, while ensuring compliance with data regulations.

As an AI Quantitative Strategist at WorldQuant, you will develop and implement AI/ML models for trading optimization and investment strategies. You will work collaboratively on innovative projects while leveraging state-of-the-art data and systems. The role emphasizes building infrastructure for AI and involves explaining model business value to stakeholders.

As an Engineering Manager at Skydio, you will lead the autonomy team to enhance drone technology, collaborate across various teams to achieve product goals, and mentor engineers while maintaining high engineering standards. Your role will involve solving complex challenges in areas like software architecture, simulation, and machine learning to scale Skydio's innovation in autonomous flight.

As an AI Engineer & Researcher, you'll optimize model inference, build production serving systems, and accelerate research on scaling compute, contributing to AI systems that accurately understand the universe.

The AI Safety Engineer will focus on identifying safety shortcomings, designing evaluations to assess risks, implementing ML safety methods, collaborating with teams to ensure safety in development, and innovating new safety solutions for AI systems.

The Software Engineer will architect, build, and design a data collection platform, implement features to enhance user experience, and ensure system security and scalability. Responsibilities include monitoring data quality and contributing to innovative solutions that support AI research and model performance.

As an AI Engineer & Researcher at xAI, you will build end-to-end features, establish monitoring systems for data quality, drive data collection projects, and innovate methods for data generation. You will collaborate with cross-functional teams to improve the AI platform while ensuring security and scalability.

Forward Deployed AI Engineers work directly with end customers owning strategy and implementation. Responsibilities include designing, implementing, and maintaining robust and scalable AI-driven solutions, working with large, complex codebases, and delivering measurable impact through AI solutions.

Designing and implementing evaluations for new capabilities, creating new data generation methods, experimenting with fine-tuning techniques, optimizing training data quality, innovating new ideas in AI systems.

The AI Engineer & Researcher at xAI focuses on training trillion parameter neural networks, optimizing GPU utilization, innovating inference stack, implementing state-of-the-art methods, and developing AI systems to understand the universe.

Leverage xAI's models and algorithms to create delightful consumer products and experiences, scale to millions of users worldwide.

The AI Engineer & Researcher at xAI will focus on training neural networks at scale, mastering all data modalities, implementing state-of-the-art methods, and innovating new ideas in the field of AI. Ideal candidates will have experience building distributed training systems, working with JAX/XLA, and debugging third-party source code.