Remote Software engineering Jobs • PyTorch

This role is for Nebius AI R&D and is focused on applied research and the development of AI-heavy products, such as Nebius AI Studio. As a Senior Software Engineer with Machine Learning background, you will design and develop infrastructure that powers our research, maximize system performance, and build web services to showcase and operationalize our research.

VetsEZ is seeking an AI Product Engineer to drive the development and integration of advanced AI capabilities into customer-facing products and platforms. This role is for someone who thrives at the intersection of machine learning, product innovation, and full-stack engineering. You will partner closely with product managers, designers, and engineers to shape intelligent solutions that solve meaningful problems at scale. The candidate must reside within the continental US.

Play a pivotal role in shaping and expanding the capabilities of the Kumo Graph Neural Network and Relational Deep Learning architecture. Drive innovative designs that enhance our GNN backbone and integrate cutting-edge temporal learning strategies. Bridge the gap between foundational models and GNNs, tackling diverse use cases like recommendation systems, customer retention, forecasting, and fraud detection. Leverage your expertise in machine learning and AI to solve critical challenges, creating scalable and adaptable solutions.

Andesite is looking for a strong Senior Machine Learning Engineer who has a proven track record of delivering AI/ML products at scale. You will help build and iterate on a production agent architecture involving LLMs, RAG, and context/memory management. You will also be responsible for developing other models as needed to support evolving product requirements. Work closely with product managers, product developers, threat analysts, data scientists, and other engineers to understand the business requirements and translate them into ML solutions.

Andesite is seeking a Senior Machine Learning Engineer to deliver AI/ML products at scale, design, develop, and deploy agentic AI involving LLMs, RAG, and context/memory management, manage AI/ML infrastructure and lifecycle, and collaborate within a cross-functional team. The candidate will also keep pace with research in machine learning, large language models, and cyber security.

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.

Empower psychologists and clinicians with innovative tools that streamline assessments, diagnoses, reporting, and evaluation management, driving better outcomes for students by developing AI-powered solutions that harness structured and unstructured data to make the diagnostic process more efficient. As Senior Machine Learning Engineer you will lead the charge on productionizing AI features across parsing, summarization, and chat-based report editing.

As the Senior ML Architect specializing in agentic systems, you will strategically architect and lead the development of advanced ML agent-driven systems, ensuring seamless integration between our Machine Learning and AI/Data Platform teams. Your expertise will be pivotal in shaping our agentic system strategy, driving scalable architecture design, and fostering cross-team collaboration to deliver robust, efficient, and innovative ML solutions.

Be a technical leader within your team and within Spotify. Coordinate technical projects across teams. Facilitate collaboration with engineers, product owners, and designers to solve interesting problems for delivering various media. Architect, design, develop, and deploy ML models. Be a leader in Spotify’s ML community and work collaboratively and efficiently on existing platforms and systems.

As an Applied AI Engineer, research and utilize established and state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to customers. Work directly with customers to understand their business and technical needs. Design and deliver AI solutions, either by leveraging Snorkel Flow or developing custom approaches when needed. This position is ideal for someone who enjoys solving complex problems, working directly with customers.