Senior Machine Learning Engineer (GCP)

Senior Machine Learning Engineer, Relevance and Personalization (Query Intelligence)

Develop and productionize machine learning models for query intelligence, focusing on autocomplete, intent modeling, and natural-language search. Collaborate with cross-functional teams to improve retrieval and ranking to match guests with hosts effectively.

Senior Machine Learning Engineer - Reinforcement Learning

Design and optimize reinforcement learning algorithms for robotic control and adaptive behaviors in dynamic environments. Develop sim-to-real pipelines and integrate RL policies with hardware constraints and sensor data.

Machine Learning Engineer Manager

Lead the design and evolution of ZVA and AIEA runtime services to enhance agentic AI and conversational reasoning. Manage and mentor a global team of AI researchers and engineers while driving the technical roadmap for AI capabilities.

Principal Machine Learning Engineer

Develop and scale machine learning systems and platforms to enhance customer experience and automate business processes. Partner with data scientists and software developers to deploy predictive models into production using robust software engineering practices.

Artificial Intelligence / Machine Learning Engineer

Develop document-processing pipelines and autonomous AI agents using LLMs and agentic workflows. Build and optimize Python microservices for document ingestion, classification, and extraction while ensuring system reliability and cost-efficiency.

Staff Machine Learning Engineer

Lead the development and optimization of LLMs and Mixture of Experts models to improve performance and efficiency. Collaborate cross-functionally to integrate these models into the platform and mentor junior engineers.

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Architect and build large-scale ML systems covering training, inference, and deployment. Set technical standards for ML infrastructure and optimize GPU performance for production-grade systems.

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

The role involves building and owning critical machine learning subsystems from data preparation to production deployment. You will collaborate cross-functionally to turn research ideas into scalable, reliable AI products while mentoring other engineers.

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Own the end-to-end execution of ML systems, translating research into scalable production-grade solutions. Responsible for data pipelines, model fine-tuning, and optimizing inference systems for latency and cost.

Staff Machine Learning Engineer

Lead the Employer Agents Team to develop AI-driven agentic solutions and LLM-based evaluation capabilities to redefine the hiring journey. Drive technical direction, manage major workstreams, and mentor other engineers while improving LLMOps reliability.

Staff Machine Learning Engineer

Set the technical strategy for the ML roadmap and lead the development of production systems for the Piai claims-intelligence platform. Provide technical leadership and mentorship to the ML team while bridging the gap between research and shippable products.

Staff Machine Learning Engineer

Optimize and deploy multi-modal AI models for on-device execution within a browser-native runtime. This includes managing the full inference stack from quantization and kernel tuning to integration with the game engine.

Machine Learning Engineer Technical Fellow

Lead the architecture and implementation of next-generation AI-first matching systems for search and recommendations. Collaborate with cross-functional teams and senior leadership to drive long-term technical strategy and mentor emerging engineering leaders.

[Remote] Machine Learning Engineer

Build scalable, reliable, and production-ready ML systems focusing on Generative AI and Conversational AI solutions. Collaborate with cross-functional teams to translate business requirements into technical engineering innovations.

Senior Machine Learning Engineer

Own the full machine learning lifecycle to build and deploy end-to-end solutions combating fraud and deepfakes. Develop SOTA CV/ML models and maintain high-load ML pipelines using FastAPI and PyTorch.

Senior Principal Machine Learning Engineer

Lead the design and delivery of end-to-end ML/AI systems to optimize payment accuracy and risk adjustment using clinical and claims data. Define technical strategy, build evaluation frameworks, and mentor senior engineers to elevate organization-wide ML standards.

Machine Learning Engineer - IV (Fraud)

Develop and maintain advanced machine learning and computer vision models to detect fraud for identity verification. Deploy these models via AWS SageMaker or on-device and collaborate with product managers in an Agile environment.

Machine Learning Engineer III, Data

Design and train high-performance computer vision models for automated vehicle damage detection. Architect and maintain high-throughput, containerized microservices and data pipelines for real-time model serving.

Machine Learning Engineer IV, Data

Design and train high-performance computer vision models for automated vehicle damage detection. Architect and maintain high-throughput, containerized microservices and Kafka data pipelines for real-time model serving.

Data & Machine Learning Engineer

Design and maintain scalable data pipelines and architectures to power data warehouses, LLM-driven applications, and AI-based BI. Develop RAG workflows, manage prompt engineering, and implement natural language query experiences for analytics.

Machine Learning Engineer - Inference Maintainer & Developer Experience

Build and maintain the flagship open source computer vision inference engine while developing an agentic-driven contribution and release pipeline. Act as the technical steward and public face of the project, bridging the gap between core engineering and customers.

Artificial Intelligence & Machine Learning Engineer (Senior Consultant)

Design and implement AI-driven solutions and RAG architectures to support federal civilian government initiatives. Build and optimize large-scale data pipelines using Go and manage the ML lifecycle via cloud platforms like AWS and Databricks.

AI Engineer / Machine Learning Engineer – MLOps

Design, deploy, and maintain scalable machine learning pipelines and AI models in production environments. Responsible for automating model lifecycles, monitoring performance, and ensuring system reliability and governance.

Machine Learning Engineer, Senior Manager

Lead the vision and strategic execution of AI-powered solutions to drive long-term value across the business. Manage a team of ML engineers to design and deploy scalable, production-grade AI/ML systems and inference pipelines.

Senior Machine Learning Engineer (Romania)

Design and implement machine learning architectures for medical imaging and longevity medicine. Collaborate with domain experts to translate scientific research into production-ready AI systems.

Senior Machine Learning Engineer (Bucharest)

Design and implement machine learning architectures for medical imaging and longevity medicine. Collaborate with domain experts to translate scientific research into production-ready AI systems.

Senior Machine Learning Engineer

Build, train, and deploy high-performance computer vision and multimodal models from prototype to production. Design scalable data pipelines and optimize models for inference latency and throughput using advanced acceleration techniques.

Senior Machine Learning Engineer

Build, train, and deploy high-performance computer vision and multimodal models from prototype to production. Design scalable data pipelines and optimize inference latency for large-scale visual understanding tasks.

Research Engineer – Machine Learning & Robotics

Build and integrate ROS/ROS2-based modules to support robotic navigation and data collection workflows. Develop and maintain end-to-end machine learning pipelines for training, evaluating, and monitoring model performance in production.