Lead the design and evolution of retrieval models for ads candidate generation at Reddit scale.
Apply modern deep learning techniques like two-tower architectures, embeddings, and sequence models.
Partner with cross-functional teams to integrate retrieval systems across the full ads funnel.
Reddit is a community of communities built on shared interests and passion, hosting open and authentic conversations. With 100,000+ active communities and ~130 million daily active users, it is one of the internet's largest information sources with a flexible, inclusive culture.
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.
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.
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.
Set the technical direction for Quora's home feed recommendation systems and lead high-impact projects across the recommender stack.
Drive measurable improvements in user engagement and content quality through well-designed online experiments and end-to-end ML system ownership.
Partner with product, data science, and infrastructure teams, while mentoring engineers and raising the bar for modeling rigor and AI-assisted development.
Quora is a privately held company on a mission to grow the world's collective intelligence, operating a global knowledge sharing platform and Poe, a workspace for running multiple AI agents. It has a remote-first culture rooted in transparency, idea-sharing, and experimentation, with passionate, collaborative global teams.
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.
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.
Manage and grow a team of ML engineers building credit lending models for markets across Europe and Australia.
Set technical strategy and advocate for scalable, business-impacting ML solutions in the underwriting system.
Partner with engineering, product, and risk leaders to align ML capabilities with company goals.
Affirm is a fintech company that provides clear, predictable pay-over-time solutions with no hidden fees or surprises. It is a remote-first company focused on transparency, flexibility, and employee well-being.
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.
Set technical strategy for the international credit ML team and drive underwriting projects.
Partner with product, design, analytics, and risk to manage technical sustainability and trade-offs.
Mentor engineers and contribute to a cohesive long-term ML strategy.
Affirm exists to give people a clear, predictable way to pay over time, with no hidden fees or surprises. It is a remote-first fintech company that cares about transparency and flexibility, offering comprehensive benefits and growth opportunities.
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.
Own end-to-end performance optimization for production ML workloads, from bottleneck identification to rollout.
Diagnose ML performance bottlenecks across model execution, frameworks, runtimes, memory, and CPU/GPU utilization.
Design and implement improvements in inference execution, runtime behavior, batching, memory management, and precision.
Reddit is a community of communities, hosting open and authentic conversations across the internet. With over 100,000 active communities and approximately 130 million daily active users, it is one of the web's largest sources of information.
Design and implement cutting-edge machine learning algorithms and model architectures.
Collaborate with product, engineering, and analytics teams to integrate AI features across Atlassian products.
Conduct rigorous experimentation, model evaluation, and mentor emerging ML engineers.
Atlassian creates team collaboration software like Jira, Confluence, and Trello, aimed at unleashing the potential of every team. They are a distributed-first company with thousands of employees, emphasizing diversity, inclusion, and flexible work arrangements.
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.
Own end-to-end ML systems from data and training to evaluation, inference, and deployment.
Build and evolve training, fine-tuning, and inference infrastructure for large models.
Partner with research and application engineering to turn model capabilities into product improvements.
Next Step Systems is an IT recruiting and staffing agency that connects companies with machine learning and technology talent. They specialize in placing candidates in remote and on-site roles across the United States and emphasize a fast-paced, results-oriented culture.
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.
Lead the end-to-end machine learning lifecycle, from data preparation and model training to evaluation, inference, and deployment.
Build and optimize scalable training, fine-tuning, and inference pipelines for large-scale models on GPU infrastructure.
Establish production best practices for model quality, reliability, safety, and measurable performance improvements.
This company builds production-grade machine learning systems and large-scale GPU-powered inference pipelines. It is a fully remote team that values technical rigor, collaboration, and hands-on engineering.
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.
Lead three highly technical teams spanning machine learning engineering, computer vision, forecasting, and data platform.
Ensure machine learning systems move reliably from research to production with measurable real-world impact.
Manage, mentor, hire, and grow the department of engineers and data engineers across three distinct teams.
Apella Technology applies machine learning to surgical healthcare operations, using computer vision and forecasting to improve clinical workflows. The company fosters a remote culture and is an equal opportunity employer, encouraging diverse backgrounds to apply.