Remote Software engineering Jobs • ML

In this role on the Trust team, you'll work on initiatives with impact across some of the fastest growing areas of business at Vanta, and major impact for our largest customers. You will also identify, scope, and lead large technical projects, laying the groundwork for building highly performant, reliable, and customizable systems. Influence the development of high-ROI product features and supporting infrastructure to accelerate the roadmap and land impact faster.

We are looking for a Software Development Engineer II with 2–4 years of experience, including hands-on involvement in at least one AI/ML/NLP-based project. This role focuses on building intelligent internal systems that leverage AI to automate complex workflows and enhance internal efficiencies. You will be working at the intersection of backend engineering, machine learning, and platform design—crafting intelligent systems that support business operations at scale.

Apply cutting-edge AI/ML tools from industry leaders to build solutions that deliver compounding value for developers helping secure their software from vulnerabilities introduced by dependencies. The goal is to cut through the noise and make it easy to find and remediate the 2% of vulnerabilities that are actually reachable given the way our customers’ use their dependencies.

Infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. Design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. Apply AI/ML concepts to difficult problems and develop scalable solutions, creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities.

Shape the trajectory of our Prop Trading desk by designing and improving essential infrastructure for trade execution, signal generation, model development, and strategy validation through backtesting. You'll drive the full software development process for trading strategies, actively managing their live performance. Collaborate closely with the business, exchanging ideas with traders to improve strategies, and be the specialist responsible for pioneering trading strategies.

We are seeking a highly skilled GenAI Engineer to play a key role in advancing our AI-driven platform and client solutions. The ideal candidate has 4+ years of hands-on ML experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. A strong foundation in cloud-based ML solutions, AI model deployment, and optimization techniques is essential.

You'll collaborate with different functions and be hands-on across the full stack: from data and modeling to software systems and observability. You’ll grow quickly, owning meaningful pieces of the products with ultimate support from experienced engineers and scientists around you. Design, build and release AI products/features that solve real user problems. Design and implement streaming/batch data pipelines to support training and inference. Write production-ready code, and move it to production with the help of cloud services and CI/CD techniques.

As a Machine Learning Engineer on GitLab’s AI framework team, you’ll play a critical role in shaping the future of AI-powered features at GitLab. This is an exciting opportunity to work on impactful projects that directly influence the quality of GitLab’s AI capabilities. You’ll ensure that every AI feature we deliver is robust, reliable, and meets the highest quality standards.

We’re looking for an AI Engineer to help design, build, and scale agentic AI platform and agents that power our next generation commerce operating system. You’ll join a small, high-impact team focused on building agentic and intelligent applications from the ground up working closely with the  CPTO as well as Head of AI Engineering.

The Sr. AI Engineer is responsible for designing and implementing innovative artificial intelligence solutions using large language models, agentic frameworks and other related technologies. This role involves designing, implementing, and maintaining scalable AI models and algorithms to align with business needs and optimize business performance, also will support training and deployment of machine learning models.