Roles remotos de Python para candidatos en Estados Unidos.

Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether.

As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques.

Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine, integrating capabilities across lexical and vector indexing, low-latency retrieval

Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform.

Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management

Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more

Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.

Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.

Design and build automated reliability and self-healing systems that protect production at scale, including automated rollbacks, deploy safeguards, and fault mitigation

Building tools and applications to extends Calendly’s infrastructure platform

Have 5+ years of experience running critical systems at scale

Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB

Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP

Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers

Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers

Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers

Partner with the Sales, Product/Engineering, Customer Success, Professional Services, and executive leadership to articulate the overall Datadog value proposition, vision and strategy to customers

Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers

Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams