Senior Machine Learning Engineer, CX Intelligence
As a Machine Learning Engineer on the CX Intelligence team, you'll design and implement AI-powered conversational systems to enhance customer support at Coinbase.
273 total jobs
56 new jobs this week
As a Machine Learning Engineer on the CX Intelligence team, you'll design and implement AI-powered conversational systems to enhance customer support at Coinbase.
Design and deploy machine learning systems, optimizing models for image and video processing while collaborating with cross-functional teams to deliver scalable ML solutions.
As a Staff Machine Learning Engineer on the Identity Verification team, you'll lead the development of ML systems that ensure the legitimacy of users and documents at Coinbase.
Design and deliver a unified orchestration layer for conversational AI, coordinating vendor and internal LLMs with human agents while building scalable Python services and guiding complex machine learning initiatives.
Improve the e-commerce experience for millions by building the retrieval layer of a search engine, focusing on search recall and visual solutions.
Manage and scale cloud compute infrastructure for machine learning training and inference, automating ML pipelines and CI/CD while supporting reliable, reproducible model operations across the ML lifecycle.
As a Senior Machine Learning Engineer in the Search Quality team, you will enhance e-commerce relevance for global retailers by developing advanced machine learning systems.
Develop and deploy production machine learning systems for healthcare, owning services end to end across data pipelines, model experimentation, inference optimization, and deployment using clinical data.
As an Open-Source Machine Learning Engineer, you'll enhance the open-source ML ecosystem by working on libraries like Transformers and PyTorch while engaging with a vibrant community of users and contributors.
As an Open-Source Machine Learning Engineer, you'll enhance the open-source ML ecosystem by improving libraries like Transformers and collaborating with a vibrant community of users and contributors.
Lead the design and development of core machine learning models for Instacart's ads ecosystem, focusing on improving model accuracy and addressing training data biases.
Design and implement advanced machine learning models for recommendation systems and video streaming, contributing to innovative immersive media experiences.
Build and deploy machine learning models and experiments to grow and activate service-provider supply, forecast marketplace needs, and improve retention, onboarding, and marketplace health.
As a Machine Learning Scientist, you will advance speech synthesis and understanding by designing and evaluating models while collaborating with linguists to enhance TTS frontend behavior.
Design, train, and improve large-scale machine learning models, develop safer and faster training and serving techniques, and explore learning strategies for streaming data in collaboration with product teams.
Build and maintain production machine learning systems for quantitative trading, partnering with researchers to turn novel ideas into reliable models, data pipelines, and tools while leading projects and guiding junior colleagues.
Fine-tune and optimize large language models for high-performance deployment, build scalable batch and real-time ML pipelines, and guide AI product architecture and the teamโs long-term technical roadmap.
As a Senior Staff Machine Learning Engineer, you will build and scale foundational ML systems that enhance content understanding, safety, and decision-making across Spotify's platform.
The Machine Learning Engineer will develop and deploy large language and machine learning models, focusing on data preprocessing, model training, and fine-tuning with healthcare datasets.
As a Research Engineer on the RL Velocity team, you'll enhance the efficiency and reliability of the RL Science stack, enabling researchers to iterate quickly on training runs.
Leads and mentors a team of data scientists building fraud detection and financial risk products, owning model development end to end from data and experimentation through production deployment and monitoring.
Drive the development of AI-powered solutions for Airbnb's growth platform, leading engineering efforts to enhance personalized customer experiences and optimize marketing strategies.
As a Staff Machine Learning Engineer, you will design, build, and deliver AI systems, transforming complex problems into effective solutions while leading cross-functional teams.
Lead computer vision and multimodal AI research, develop and optimize foundation models, and translate research into production-ready product advances while setting technical direction and mentoring scientists and engineers.
Those that list pay offer a median of $204,000 a year. The middle half pay between $178,000 and $237,000.
| Level | Range | Middle half ยท median |
|---|---|---|
| All levels | $178Kโ$237K ยท $204K |
56% of these listings post pay. From 34 listings with pay in USD, at most three per company.
5% of these listings are open worldwide and 5% to a whole region, like Europe or Latin America. The other 90% hire in specific countries:
From 147 listings that state where they hire.
What hiring companies here ask for far more often than across all remote jobs, so it is worth putting front and center on your resume.
Share of the 66 companies hiring here that ask for each skill, and how many times as often as across all remote jobs. Soft skills like communication are left out.