Design, develop, and deploy ML models, including large language models, for various NLP tasks.
Collaborate with cross-functional teams to gather requirements, define architectures, and iterate on model development.
Stay up-to-date with latest research and contribute to best practices for responsible ML development.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest sources of information, fostering a culture of authenticity and community.
Lead the development and optimization of Large Language Models and Mixture of Experts models.
Collaborate with cross-functional teams to integrate ML models into our platform and conduct cutting-edge research in machine learning.
Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.
webAI is an end-to-end private AI platform that enables enterprises and governments to bring AI to their data, powering specialized intelligence trained on their own knowledge. The company is a dynamic, fast-growing team fostering an exciting and growth-oriented work culture, committed to truth, ownership, tenacity, and humility.
Build and iterate on consumer-facing AI features powered by large language models (LLMs) and generative AI systems
Collaborate with engineers across the AI stack including prompt engineering and agentic workflow optimization
Run structured experiments and monitor production AI systems to optimize latency, cost, and scalability
Quora is a global knowledge sharing platform with over 300M monthly unique visitors, connecting people to share insights and learn. Poe provides a platform for users to chat and build with AI language models. They are a remote-first company with a culture rooted in transparency and experimentation.
Fine-tune and optimize Large Language Models for healthcare and life science applications.
Develop and enhance RAG pipelines to improve AI-powered information retrieval.
Collaborate with cross-functional teams to deploy deep learning solutions for complex healthcare challenges.
The company develops AI-powered healthcare solutions using Large Language Models. They foster a highly collaborative and innovation-driven environment with a diverse international team.
Lead the development of multimodal capabilities for next-generation AI systems.
Own the multimodality roadmap and drive adoption across AI models.
Design and execute experiments across the full research lifecycle.
They develop advanced AI systems with multimodal capabilities for software development and complex problem-solving. The team is collaborative, remote-first, and focused on innovation and research excellence.
Develop and refine features for deep learning models using large-scale customer and behavioral datasets.
Implement model architecture changes informed by recent academic research from venues like NeurIPS.
Optimize model training pipelines for efficiency and scalability while collaborating with client teams.
OpenTeams builds AI that empowers, offering energy-efficient and cost-effective models with a commitment to open source. The company values freedom, teamwork, accountability, and quality, and reinvests 3% of profits into the open-source community.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Build and continuously improve cutting-edge Machine Learning models for query understanding, including autocomplete, query tagging, and intent modeling.
Develop natural-language search experiences powered by modern NLP and LLMs, working on smart compose, query expansion, and user-intent sequence modeling.
Collaborate with cross-functional teams and productionize ML models at scale, leveraging third-party and in-house tools.
Airbnb is a global online marketplace for lodging and travel experiences, founded in 2007. It has over 5 million hosts and has welcomed over 2 billion guest arrivals, fostering a culture of belonging and inclusion.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Support ongoing research initiatives in machine learning and agentic workflow development.
Work with machine learning models to build products and conduct research.
Drive data preparation and quality for training deep learning models.
HireVue is an industry leader in AI-powered hiring solutions, providing a platform for video interviewing and assessments. They have hosted over 70 million video interviews and serve 1200 customers globally.
Design, build, deploy, and optimize machine learning models that process large volumes of complex, unstructured data.
Develop and maintain scalable ML pipelines capable of supporting millions of documents and diverse customer requirements.
Lead technical initiatives from early experimentation through production implementation and ongoing improvement.
The company develops intelligent automation solutions using AI and machine learning for large-scale document processing. It offers a highly autonomous engineering environment with a focus on continuous improvement and innovation.
Evaluate LLM architecture logic for technical accuracy and audit ML code and notebooks for efficiency.
Refine RLHF frameworks to align models with human intent and analyze model reasoning in complex chain-of-thought prompts.
Benchmark performance by conducting comparative testing between model outputs based on technical metrics.
Prolific connects researchers with a global pool of participants for collecting high-quality human data to train AI models. With over 35,000 users, they focus on ethical data gathering to advance AI capabilities.
Develop LLM-based applications including Q&A systems, Agents, and algorithmic workflows.
Implement core NLP tasks such as text classification, information extraction, and semantic matching.
Manage data cleaning, feature engineering, and model performance optimization.
Bybit is a leading cryptocurrency exchange and digital financial platform serving over 80 million users worldwide. The company fosters a high-performance, fast-moving environment with a global team of ambitious builders and innovators.
Own the design and defense of frontier model evaluations across reasoning, coding, agents, tool use, and multi-modal.
Build benchmark packages with expert-verified ground truth, multi-model headroom results, and rigorous QC.
Recruit, calibrate, and review a pool of subject-matter experts in coding, agentic/tool-use, and STEM/reasoning.
Anyone AI measures frontier model capability through expert-verified evaluation packages. The company operates as a remote team with a focus on rigorous benchmarking and lab collaboration.
Lead independent test and evaluation research programs in NLP and LLM safety to protect the public from AI system harms.
Develop competitive research proposals, secure funding, and serve as principal investigator for digital safety research programs.
Analyze experimental results, design research challenges, and host workshops at leading AI safety conferences.
UL Research Institutes is a nonprofit organization dedicated to advancing safety science research to create a more secure and sustainable world. With a global reach and a century of experience, they foster a collaborative and scientific culture to address critical safety issues.
Build and maintain scalable machine learning solutions in production.
Train and validate deep learning and statistical models for real-world applications.
Partner with product managers and engineers to define requirements and drive ML roadmap.
Twilio is a cloud communications platform that empowers businesses to build personalized customer experiences through APIs. With thousands of employees worldwide, the company champions a remote-first culture focused on inclusion and innovation.
Develop scalable ML pipelines across the full lifecycle and champion responsible AI for content understanding models and signals in production.
Provide technical leadership and mentorship to ML engineers and software engineers, setting technical standards and conducting design reviews.
Build evaluation and quality monitoring systems for content understanding signals using state-of-the-art LLM-as-judge practices.
Reddit is a community of communities built on shared interests, passion, and trust, home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 126 million daily active unique visitors, it is one of the internet's largest sources of information.
North America
Unlimited PTO
12w maternity
8w paternity
Lead state-of-the-art research and development in AI/ML, advanced statistical modeling, and applied mathematics to solve security problems.
Develop novel AI workflows and models to address Ent's security challenges, incorporating and advancing current SOTA approaches.
Collaborate with the team to invent frameworks and theoretical grounding while thinking outside the box to combine multiple techniques.
Ent is an intent-aware workspace security platform that secures human and AI-driven work by understanding intent and intervening at the moment of risk. Founded by former RiskIQ co-founders, backed by leading VCs, and in production with Global 2000 customers, the company values a customer-first, humble, and urgent culture.
Design and build core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse.
Set the technical bar for the org in evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
Take direct ownership of the hardest, most ambiguous technical problems and build solutions end-to-end.
Twin Health empowers people to prevent and reverse chronic metabolic diseases using AI Digital Twin technology. The company is rapidly scaling across the U.S. and globally with over $100 million raised, and has been recognized as an innovator and top workplace.
Conduct in-depth research into Machine Learning, Deep Learning, and Generative AI.
Identify gaps, limitations, and opportunities in existing research and technologies.
Stay up to date with the latest research papers, models, architectures, and techniques.
ImagineArt is a fast-growing generative AI company building next-generation AI-powered creative tools. We are a small, ambitious team with a research-driven culture exploring cutting-edge AI technologies.