Senior Staff Machine Learning Engineer, Feed Relevance
Drive the development of GenAI-powered recommendations as a Senior Staff Machine Learning Engineer, shaping feed ranking architectures for millions of Reddit users.
1,082 total jobs
178 new jobs this week
Drive the development of GenAI-powered recommendations as a Senior Staff Machine Learning Engineer, shaping feed ranking architectures for millions of Reddit users.
As a reporter specializing in defense business and finance, you will break news on investments, mergers, and procurement trends while contributing to a bi-weekly newsletter.
As a Lead Machine Learning Scientist in Business Banking, you'll spearhead the development and deployment of advanced ML models to enhance banking experiences for small businesses.
Support and improve a production AI assistant platform by maintaining RAG pipelines, refining LLM agents, troubleshooting operations, and coordinating testing and integrations with auditors and developers.
Design, deploy, and monitor machine learning models and AI-powered systems across the full ML lifecycle, partnering with data, product, and engineering teams to deliver reliable, scalable solutions.
As a Senior Product Cybersecurity Architect, you will embed cybersecurity into Torc's autonomous driving systems, ensuring security throughout the product lifecycle.
Develop and scale pre-training architectures for LLMs and multimodal models, advancing cross-modal understanding, training efficiency, data quality, and distributed system performance.
As a Forward Deployed Engineer, you will build semantic models for finance, integrate data sources, and drive business outcomes for enterprise accounts.
As a reporter specializing in transportation and mobility, you will analyze and report on the transformative forces reshaping the industry, including AI, electrification, and geopolitics.
Build and rapidly prototype full-stack AI applications for healthcare workflows, translating ambiguous business needs into measurable solutions and helping evolve them into governed, production-ready systems.
Leads end-to-end delivery of production AI systems, from RAG and agentic solutions to evaluation and MLOps, while mentoring engineers and guiding clients on pragmatic technical choices.
Leads end-to-end delivery of production AI systems, designing RAG and agentic solutions, evaluation frameworks, and scalable MLOps while mentoring engineers and advising clients on pragmatic technical approaches.
Leads end-to-end delivery of production AI systems, designing RAG and agentic solutions, evaluation frameworks, and MLOps/LLMOps while mentoring engineers and advising clients on pragmatic AI approaches.
Leads end-to-end delivery of production AI systems, designing RAG and agentic solutions, evaluation frameworks, and scalable MLOps/LLMOps while mentoring engineers and advising clients on pragmatic technical choices.
Own and scale data-heavy backend features for financial products, improving data models, pipelines, and multi-tenant systems while operating production services and integrating AI capabilities safely.
Own and ship full-stack AI product features for members and credit unions, shaping reliable financial experiences from idea through production while using AI coding tools and modern TypeScript technologies.
Lead the architecture and delivery of scalable ML platforms and production voice GenAI, guiding cross-functional teams on AI patterns, distributed systems, and technical strategy for customer-facing products.
Design and lead ERP implementations as a NetSuite Solution Architect, owning the technical architecture and influencing deployment strategies across a network of over 90 companies.
Build and rapidly prototype full-stack AI solutions for healthcare workflows, translating ambiguous business needs into production-ready applications while partnering with stakeholders on governance, adoption, and measurable impact.
Build and scale client-facing AI solutions for healthcare workflows, translating ambiguous business problems into rapid full-stack prototypes and production-ready systems with measurable operational impact.
Design and deliver Azure-based AI, machine learning, data science, and advanced analytics solutions for clients, guiding technical direction while supporting colleagues and contributing to new offerings.
As a Staff AI Platform Engineer, you will own the AI Gateway infrastructure, architecting and scaling systems while ensuring reliability and cross-platform integration.
An AI Engineer is sought to develop and implement Generative AI solutions, focusing on language models, Python development, and scalable cloud architectures.
Lead the architecture and production rollout of an internal AI agent SDK, powering customer-support and clinical systems while owning model strategy, evaluations, safety, reliability, and growth of the Applied AI team.
Those that list pay offer a median of $190,000 a year. The middle half pay between $165,000 and $225,000.
| Level | Range | Middle half · median |
|---|---|---|
| Mid-level | $139K–$218K · $184K | |
| Senior | $167K–$222K · $190K | |
| Lead | $194K–$245K · $220K |
30% of these listings post pay. From 125 listings with pay in USD, at most three per company.
5% of these listings are open worldwide and 2% to a whole region, like Europe or Latin America. The other 93% hire in specific countries:
From 927 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 431 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.
Half stop taking applications within 34 days of being posted, and 1 in 4 within 12 days. Applying in the first week counts.
12 days
1 in 4 closed by then
34 days
Half closed by then
76 days
3 in 4 closed by then
From 530 listings that closed in the last 120 days, at most three per company.