Source Job

• Improve existing machine learning ranking models using core coding skills and ML knowledge.
• Take end-to-end ownership of machine learning systems from data pipelines to production integration.
• Identify new opportunities to apply machine learning to different parts of the Quora product.

Quora is a global knowledge sharing platform and Poe, a cloud workspace for AI agents. It is a privately held, remote-first company with a culture rooted in transparency, idea-sharing, and experimentation.

• Design, build, and maintain scalable real-time ML services for ranking and personalization.
• Analyze user behavior and run A/B tests to improve product discovery and engagement.
• Collaborate with engineers, data specialists, and business stakeholders to drive measurable outcomes.

The company is an AI-driven e-commerce platform that uses machine learning to power smarter search, discovery, and shopping experiences. It maintains a collaborative, remote-first culture that values ownership, inclusion, and meaningful impact.

• Design and deploy production-grade recommendation and search models for personalized content discovery.
• Own retrieval and ranking pipelines, including candidate generation, embedding-based retrieval, and online serving.
• Collaborate with product, data, and engineering teams to run experiments and improve engagement and retention.

Jobgether is listing this role on behalf of an innovative, AI-driven consumer platform focused on personalized content discovery and interactive entertainment. The hiring company operates with a remote-first culture and a fast-moving, collaborative environment.

• Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking.
• Develop and optimize features including embeddings, contextual signals, and cross-session behavior.
• Mentor other MLEs and contribute to modeling best practices across the organization.

Reddit is a community of communities built on shared interests, passion, and trust. With over 100,000 active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information and employs a flexible first workforce.

• Own high-impact ranking models powering personalized feeds and digest emails.
• Work across the full ML lifecycle, from data pipelines to production deployment.
• Collaborate with a distributed engineering team on modern recommendation techniques.

They operate a large-scale knowledge-sharing platform. The company values autonomy, continuous learning, technical excellence, and thoughtful experimentation.

• Architect, implement, and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, and Ads.
• Create ML data-governance tools that help MLEs discover and reason about signals.
• Drive complex projects end to end from technical planning through implementation, testing, rollout, and ongoing operation.

Reddit is a community of communities hosting authentic conversations on shared interests. With 100,000+ active communities and about 130 million daily active visitors, it is a top internet information source.

• Lead technical design and architecture for Medium's ML recommendation backend.
• Build and scale feature store, recommender systems, and ML Ops.
• Mentor engineers and drive cross-functional technical direction.

Medium is an online publishing platform that connects millions of readers with ideas and stories. The company values engineering excellence, collaboration, and a culture of mentorship and continuous improvement.

• Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
• Lead ML projects from concept to production, improving answer relevance and user experience.
• Collaborate with Product, Data Science, and Engineering teams to shape technical direction.

The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.

• Build cutting-edge personalization technology using deep learning and machine learning.
• Partner across teams to improve ML models for Homefeed, Ads, Growth, Shopping, and Search.
• Use data-driven methods and LLMs to enhance content understanding and candidate retrieval.

Pinterest is a visual discovery platform where millions of people find creative ideas and plan for memories. Its culture emphasizes inclusion, flexibility, and innovation, and it values bringing everyone the inspiration to create a life they love.

• Lead the team in roadmapping and executing machine learning features and products.
• Improve team pace through technical expertise and pragmatic tradeoffs.
• Drive recruiting, reliability, and growth of team members.

Hightouch helps companies sync data into their SaaS systems to automate and improve operations. They are a remote-first company with hundreds of customers and a culture focused on engineering excellence.

• Build cutting-edge deep learning and machine learning models to personalize the Pinterest experience.
• Partner with cross-functional teams to improve ML models for products like Homefeed, Ads, and Search.
• Use data-driven methods to enhance candidate retrieval and stay current with trends in recommendation systems.

Pinterest is a visual discovery platform where millions find inspiration to create a life they love. It is a large, publicly traded technology company with a culture of innovation, inclusion, and flexibility.

• Design and build systems that improve the efficiency of ML training and inference workloads.
• Develop tooling and benchmarking frameworks to help ML engineers debug, profile, optimize, and monitor model performance.
• Partner with ML teams to optimize distributed training, reduce costs, and drive technical strategy for scalability and reliability.

Reddit is a community of communities where users share interests and authentic conversations. With 100,000+ communities and ~130 million daily visitors, it has a flexible-first culture supporting remote work.

• Design and manage search recommendation services and models to empower content ecosystem development.
• Utilize machine learning-based personalization methods to enhance content matching and distribution efficiency.
• Collaborate with content, business, and product teams to identify needs and define success metrics.

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, the company fosters a user-centric, flat-structure culture with a focus on innovation and collaboration.

• Own the vision for applied AI solutions across Reddit's business and technical functions.
• Build AI applications, agents, and automations that solve real business problems.
• Mentor engineers and set technical direction for AI-native workflows.

Reddit is a community of communities, hosting open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.

• Architect and implement state-of-the-art GenAI pipelines for ad creative generation, including brand asset preservation and image/video editing.
• Fine-tune large vision-language models and build feedback loops using ad performance metrics (CTR, CVR) via RLHF/RLPF.
• Partner with Product, Sales, Policy, and Ads ML teams to integrate creative capabilities into Ad Manager and ensure brand safety.

Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.

• Build and maintain core infrastructure for Quora's ML platform, ensuring high availability, scalability, and performance.
• Build and improve distributed systems serving ML models in production, from Large Recommendation Models to Large Language Models.
• Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models.

Quora's mission is to grow the world's collective intelligence through two platforms: Quora for global knowledge sharing and Poe for AI agent collaboration. We are a remote-first company with passionate, collaborative, and high-performing global teams, rooted in transparency and experimentation.

• Build and operate production ML systems for recommendations, ranking, and personalized action selection across Stripe's Growth Platform.
• Improve contextual bandit and policy-learning approaches, including exploration, reward design, and adaptive user feedback.
• Develop reliable data and feature pipelines, reusable tooling, and online experiments to drive measurable business outcomes.

Stripe is a financial infrastructure platform for businesses of all sizes, enabling payments and revenue growth. With millions of companies as customers, Stripe fosters a culture of passion, grit, and integrity while working to increase the GDP of the internet.

• Build and improve ML models for classification, ranking, retrieval, and personalization.
• Develop efficient classifiers and optimize accuracy, precision, latency, and cost.
• Debug production issues and ship improvements based on real-world feedback.

• Lead and mentor a team of software engineers building scalable machine learning infrastructure.
• Define and own the multi-quarter technical strategy for data generation, orchestration, and distributed training.
• Represent the Scalable ML team in org-level planning and architecture decisions, resolving cross-team tradeoffs on shared infrastructure.

Latitude AI is building the future of Ford's autonomy roadmap, developing a fully in-house hands-free ADAS platform. As a Ford Motor Company subsidiary, it operates independently like a technology startup with engineering centers in Pittsburgh, Dearborn, and Palo Alto.

• Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
• Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
• Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.

Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.