Design, build, and operate data pipelines across the Accelerator's medallion architecture, ensuring data quality and versioned schema contracts.
Develop and operate ML and NLP enrichment pipelines, including language identification, translation, and classification at scale.
Collaborate with research teams to define data products and provide direct technical support on the platform.
Princeton University is a leading Ivy League institution that advances education and research across disciplines. Its Accelerator supports computational social scientists with a shared data and compute platform, fostering a collaborative and innovative environment.
Build production pipelines that parse clinical standards into validated, executable modules.
Design and refine representations for guideline logic, including exclusions, precedence, and recommendations.
Evaluate models, develop benchmarks and adversarial cases, and ship successful improvements into production.
This healthtech company builds a production compiler that turns clinical standards into executable, traceable decision logic. The team is research-focused and collaborative, working across disciplines to improve the reliability of clinical decision systems.
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.
Research and deploy NLP, ML, and GenAI solutions for revenue lifecycle management products.
Partner with engineering and product to take models from experimentation to production at scale.
Mentor teammates and drive evaluation standards while building LLM and RAG-based capabilities.
Conga unifies pricing, quoting, contracting, rebates, and communications so companies run as connected, smarter businesses. Trusted by over 10,000 customers and 50% of the Fortune 100, Conga fosters a culture where colleagues thrive and every voice is heard.
Lead the engineering team focused on story technologies and quest systems for Cyberpunk 2.
Bridge design vision and technical execution, working with quest designers, directors, and central architects.
Write high-quality C++ code, maintain quest tools, and resolve bugs to ensure seamless integration with game components.
We create revolutionary, story-driven RPGs that go straight to the hearts of gamers. We are an international team focused on well-being and professional growth, with a dog-friendly office and flexible working culture.
Design and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.
Propose, implement, and own AI features for a large variety of non-player characters.
Collaborate with design, QA, and framework teams to deliver high-quality, optimized gameplay systems.
Maintain and extend the Unreal Engine AI framework while participating in code reviews and mentoring.
People Can Fly is an independent AAA game development studio known for titles like Bulletstorm and Outriders. With over 20 years of experience, the international team of hundreds works across offices and remotely, fostering a creative, forward-thinking culture.
Train, evaluate, and iterate on ML models for customer feedback tasks with rigorous experimentation.
Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation.
Contribute to evaluation frameworks, semantic search, and collaborate with engineering on model integration.
We help large brands like Uber, Amazon, and Wise put customers at the centre of everything they do using our AI-powered Customer Experience Intelligence platform. Our collaborative, growth-driven culture values trust, ownership, and humility as we build the next generation of customer feedback technology.
Develop and ship a meaningful project, collaborating with your mentor and manager.
Monitor deployment of your work and verify it works in production.
Present your project to the entire engineering organization at the end.
Affirm is a financial technology company that provides a clear, predictable way for consumers to pay over time, with no hidden fees. It is a remote-first company with a dynamic engineering culture, where interns contribute to meaningful projects and receive dedicated mentorship.
Build and extend pretraining code to scale experiments into full training runs.
Evaluate model architecture changes and optimize training throughput and resilience.
Run controlled ablations and collaborate with data and evaluation researchers.
Prime Intellect is building an open superintelligence stack, providing the infrastructure and platform for frontier AI training and deployment. The company has raised $150M from top investors and boasts a mission-driven team working to decentralize AI.
Develop machine learning and LLM capabilities for query intelligence and search relevance.
Build agentic search planners and improve model behavior through prompt development and fine-tuning.
Own projects from problem definition to production deployment and collaborate with cross-functional teams.
Atlassian builds software products that help teams collaborate and manage work. The company fosters a flexible and inclusive culture, with employees able to choose where they work and a focus on innovation.
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 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.
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.
Lead the development of an AI-powered job analysis engine that converts labor market data into structured occupational insights.
Build and refine NLP and machine learning models, including embeddings, semantic search, and transformer architectures.
Collaborate with product, engineering, and assessment science teams to deliver responsible AI solutions for workforce decisions.
The company builds an AI-powered job analysis platform that transforms labor market data into evidence-based occupational insights. It is a small, innovation-focused remote team that values scientific rigor, collaboration, and responsible AI.
Research, develop, and maintain production-quality machine learning code for materials science problems.
Collaborate with product, engineering, and research teams to transform AI ideas into scalable, customer-ready capabilities.
Evaluate and improve model performance, reliability, and interpretability across the full feature lifecycle.
The company develops materials-aware AI capabilities for scientific and industrial applications. They value autonomy, collaboration, and continuous learning in a remote environment.
Conduct applied research in machine learning, focusing on time-series forecasting and generative AI for supply chain planning.
Design and run experiments using real-world and benchmark datasets, evaluating models against strong baselines.
Collaborate with researchers and engineers to build prototypes and assess product potential for real-world applications.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We are a global team of over 2,000 employees with a best-in-class HQ in Ottawa, Canada, and we take our culture seriously.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
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.
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.