273 total jobs
57 new jobs this week
The Staff Data Scientist will architect and execute Machine Learning solutions, develop Large Language Models, and automate complex Data Analytics workflows to enhance business decision-making.
As a Senior Machine Learning Engineer, you will build robust ML pipelines, automate deployment, and enhance the infrastructure for forecasting systems in a healthcare startup.
As a Senior Machine Learning Engineer, you will own the development of the open voice-agent stack, focusing on speech-to-speech capabilities and the hf-voice product.
As a Senior Machine Learning Engineer focused on localization, you will design and deploy ML models for ego-motion estimation, ensuring robust performance in autonomous vehicles.
Design, develop, and deploy machine learning models to enhance Risk and Fraud detection systems, while leading technical efforts and collaborating with cross-functional teams.
Own the end-to-end development and deployment of machine learning systems that prioritize claim opportunities, improve revenue recovery, and deliver measurable impact across hospital revenue workflows.
Deploy and optimize frontier AI models for real-time production use, owning the path from research checkpoints to reliable serving systems and improving latency, throughput, and cost at scale.
Build and deploy machine learning systems that combine economic theory, econometrics, and advanced algorithms to address marketplace challenges, including matching, logistics, advertising, and causal inference.
Develop and deploy responsible AI and machine learning solutions that identify and mitigate bias across Pinterest, partnering across engineering teams to advance fairness and shape technical strategy.
As a Senior Software Engineer on the Machine Learning and Simulations Platform team, you will build and optimize MLOps and simulation platforms to enhance machine learning model deployment and performance.
Build and own production machine learning models and workflows that transform raw Internet telemetry into enriched datasets, classifications, and insights for internal systems and customer-facing products.
Lead the technical strategy for the Ads ML engineer lifecycle, enhancing feature development and training workflows to accelerate machine learning processes at Reddit.
Deepgram seeks a skilled Machine Learning Engineer to join the Research team, focusing on scalable model training and developing tools for speech technologies.
Own and shape the ML/AI platform from experimentation through production, setting technical direction for model training, serving, GenAI and agent workflows, and integration with Java microservices.
Leads and develops an applied ML team while owning fraud detection and identity models end to end, setting domain strategy, guiding technical decisions, and delivering production systems that inform product and business outcomes.
Leads an applied ML team and owns fraud and identity model development end to end, combining people management, hands-on technical work, and cross-functional product and risk decisions.
As a Machine Learning Engineer, you will develop and implement deep learning models and machine learning solutions, driving innovation in computer vision technology for waste sortation.
Lead the Safety ML team at Discord, overseeing the development of machine learning systems that protect millions of users from harm while fostering a collaborative and innovative engineering environment.
Own end-to-end machine learning systems that turn large-scale signals into explainable customer insights, building and shipping NLP, LLM, retrieval, and agentic capabilities for production AI products.
Independently assess and oversee model and Generative AI risks for a bank, reviewing governance, documentation, monitoring, and quantitative methods while communicating findings to internal and external stakeholders.
As a Senior Machine Learning Engineer, you will own the end-to-end lifecycle of ML solutions, from problem framing to deployment, driving impactful business outcomes.
Build and scale edge MLOps infrastructure for smart cameras, owning model deployment and compilation pipelines while improving reliability, inference performance, and fleet-wide monitoring.
Leads the underwriting and credit risk model validation function, managing and mentoring quantitative professionals while personally validating complex machine learning models and strengthening enterprise risk practices.
Leads underwriting and credit risk model validation, managing and mentoring a quantitative team while personally validating complex machine learning models and strengthening the enterprise risk framework.
5% of these listings are open worldwide and 6% to a whole region, like Europe or Latin America. The other 89% hire in specific countries:
From 138 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 64 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.
