Remote Software engineering Jobs · NLP

• Design, build, evaluate, and ship LLM based solutions that tell stories about content and users.
• Collaborate with cross-functional teams to build new product features.
• Promote best practices of ML systems development and evaluation throughout the organization.

Design and develop conversational AI solutions using Google CCAI. Interface with clients to develop user journeys/experiences. Guide intent identification and the associated phrases, entities, contexts, and business rules that define distinct conversational experiences.

• Lead a cross-functional team of ML engineers, data scientists, and MLOps professionals.
• Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
• Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.

Design and prototype machine learning solutions to improve the software development workflow. Apply existing open-source models or train custom ones as needed. Build training and evaluation pipelines that support fast iteration and ensure reproducibility.

• Train and fine-tune text models (LLMs), deploying them on Google Cloud, and building automation around these models.
• Analyse business requirements for the desired output format and the logic the model must implement.
• Develop services and APIs (REST/gRPC) that expose the model to other systems.

• Design, build, and maintain intelligent, scalable AI systems.
• Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and model versioning.
• Work with product and engineering teams to translate business needs into practical, high-impact AI solutions.

• Design and implement robust search solutions that scale with our rapidly growing user base.
• Improve search relevance, accuracy, and speed to deliver the most relevant results to users.
• Build and enhance vector search capabilities to power next-generation search experiences.

• Design multi-step AI prompt chains to generate high-quality educational content.
• Orchestrate and debug multi-step AI flows, managing the technical tooling.
• Build and maintain automated AI workflows using platforms such as n8n.

• Lead Reddit’s efforts in building ML systems that keep our platform safe.
• Drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale.
• Partner cross-functionally across Product, Engineering, Safety operations, Trust & Community, and AI/ML Platform to innovate on real-time detection, automation, and user protection systems.

As an Associate Machine Learning Engineer, you will help develop AI and ML systems that improve how Spotify detects, reviews, and manages risky or non-compliant activity. You’ll work with engineers, data scientists, and policy partners to design and evaluate models, automate performance tracking, and enhance transparency and auditability. This is a hands-on, collaborative role where you’ll learn from experienced practitioners while building solutions that advance safety, compliance, and responsible innovation.