Set technical vision and strategy for foundational model and user understanding roadmap.
Collaborate cross-functionally with vertical customer, horizontal signal, and infrastructure teams.
Lead and mentor a high-performing ML team, driving technical execution from ideation to deployment.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. 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.
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.
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.
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 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, 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 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.
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, 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.
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 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.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Lead and grow the ML Dataset Platform team as both technical lead and people manager, setting technical direction and defining the roadmap.
Define APIs, tools, and storage formats for ML datasets, balancing reuse with specific training workload needs.
Own common dataloading tools, streamline multi-cloud data access, and drive adoption across model teams.
Waabi is the leader in Physical AI, developing autonomous transportation technology for commercial trucks and robotaxis. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, we're a growing company with a world-class team that values diversity and innovation.
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.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
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.
Develop, train, and optimize machine learning models using Python and common ML libraries.
Support data preprocessing, feature engineering, and CI/CD integration for scalable ML solutions.
Collaborate with data engineers and stakeholders in an Agile environment to align ML solutions with business needs.
Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company's connected and engaged workforce is dedicated to delivering success for clients and the American people.
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.