Develop agentic research systems to automate mechanistic model development for biochemical and physiological processes.
Design and train machine learning models for in-context learning and few-shot adaptation on molecular and tabular data.
Collaborate with chemists and biologists to drive drug discovery decisions using AI models.
PostEra is building an AI-first biotech, using its Proton AI platform to accelerate the discovery of new medicines for patients. The company has a minimalist organizational structure, celebrating individual achievement through proportional compensation and collaboration toward delivering cures.
Monitor and synthesize trends across AI and machine learning research, foundation models, agents, and data enrichment methods.
Tinker with emerging models, tools, and datasets to build prototypes and run experiments that turn ideas into evidence.
Identify high-leverage opportunities to enrich data assets and translate research into actionable recommendations.
Troveo builds the data platform AI labs need to train next-generation models, with the world's largest licensed platform of scarce, proprietary data. It is a small, high-impact team backed by top investors, focused on transparency and work-life balance.
Design state-of-the-art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships.
Translate benchmark insights into clear, compelling narratives for customer-facing presentations, technical reports, and go-to-market materials.
Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements.
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. Founded in 2019 out of Stanford AI Lab, it works with leading AI labs and enterprises to move from better data to better outcomes.
North America
Unlimited PTO
18w maternity
12w paternity
Lead ambitious research in computer vision, multimodal understanding, and visual generation.
Bridge cutting-edge research to practical product improvements.
Mentor scientists and set technical direction for high-impact AI.
Webflow is an agentic web marketing platform that helps marketing teams build, manage, and optimize high-performing web experiences. It is a fast-moving, growing company that values grit, craft, and quality, offering equity and comprehensive benefits.
Design and deploy AI/ML models, including graph neural networks, transformers, generative models, and Bayesian optimization for molecular property prediction and design.
Apply computational chemistry methodologies such as molecular dynamics, quantum mechanical calculations, and structure-based modeling to support drug discovery.
Collaborate with multidisciplinary teams to deploy scalable workflows in cloud and high-performance computing environments.
Marlabs is a global AI and digital solutions consulting firm delivering intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with large organizations worldwide, fostering an innovative team culture.
Conduct research on enterprise agentic AI, including agent memory, continuous learning, safety, and privacy.
Leverage unique access to real enterprise deployments to test hypotheses and advance the state of the art.
Publish at top-tier venues and collaborate with cross-disciplinary teams to influence product decisions.
ServiceNow is the AI control tower for business reinvention, bringing together AI, data, and workflows to help 85% of the Fortune 500 work smarter. The company is a global leader with over 8,100 customers, building an AI-native culture where technology and talent are unstoppable together.
Conduct research to develop new functionalities and improve existing technologies across fraud, voice/speech, video, authentication, and deepfake detection.
Design, implement, and evaluate deep learning algorithms and ML models tailored to complex datasets.
Partner with research and engineering teams to transition prototypes into production-ready systems and publish findings in top conferences.
Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Backed by leading investors and protecting billions of interactions annually, we maintain a remote-first culture and focus on innovative security research.
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 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.
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.
Conduct AI research on enterprise agentic systems, focusing on agent memory, continual learning, safety, and privacy.
Work with real enterprise deployments to test hypotheses and advance the state of the art in AI.
Publish findings at top-tier venues and influence technical decisions across product and engineering teams.
ServiceNow is a global cloud platform company that uses AI to connect people, systems, and processes for enterprise business reinvention. The company serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent work together.
Advance foundational AI research by developing unified models of housing markets, consumer demand, and economic conditions.
Design sophisticated machine learning systems, including latent state-space models and causal inference methods, for market simulations.
Collaborate with research, engineering, product, and data teams to translate findings into production-ready AI capabilities.
The partner company is building AI models to understand housing market dynamics and help consumers make informed real estate decisions. It offers a distributed, remote-first culture that emphasizes research ownership, collaboration, and professional growth.
Design and build production-grade knowledge graphs and LLM-powered AI agents for next-generation software products.
Establish evaluation frameworks and technical strategy for applied AI, ensuring reliable and scalable solutions.
Mentor technical professionals and collaborate with distributed teams across India, UK, and North America.
The hiring company builds knowledge-driven AI products, including knowledge graphs and intelligent agents for software solutions. It operates with a remote-first, globally distributed team across India, the UK, and North America.
Build and post-train agents for scientific research, including literature search, code execution, and domain tool use.
Develop RL and multi-agent methods for proposing, testing, and critiquing hypotheses, with strong baselines and evaluation.
Design verifiers, reward signals, and reproducible experimental loops for scientific workflows, ensuring evidence-based improvements.
Prime Intellect builds the open superintelligence stack, providing infrastructure for frontier AI labs to train, evaluate, and deploy models at scale. The company has raised $150M from top investors and operators, and is building a culture focused on frontier research, real infrastructure, and go-to-market for a new category.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.
Own the fellowship curriculum and learning design, ensuring alignment with AI industry practices and market demand.
Oversee the quality of all learning materials and improve continuously using learner outcomes and feedback.
Build and maintain the instructor network by sourcing, interviewing, and calibrating instructors to uphold program standards.
Anyone AI runs an AI fellowship program providing practical, industry-aligned education. The company values a dynamic, fast-iterating culture and maintains rigorous standards for teaching and learning quality.
Develop AI-based biomarkers using multimodal data including whole-slide images, clinical variables, and molecular data to predict patient outcomes and treatment benefit.
Contribute to self-supervised foundation models and downstream ML models such as multiple-instance learning, survival analysis, segmentation, and classification.
Improve model robustness and interpretability across scanners, institutions, and patient populations to build clinician trust.
Artera is an artificial intelligence company dedicated to transforming cancer care by developing foundation models that analyze clinical and pathology data to guide therapy selection. They value diversity and collaboration, offering a supportive remote culture with unlimited PTO and equity as core compensation.
Develop and improve AI methods, algorithms, and systems across the lifecycle of reliable agents.
Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.
Turn research ideas into working systems, prototypes, and production-facing capabilities.
The company is a research-focused team developing methods and systems to make AI agents more reliable in production. It operates as a small team with a culture of original research, experimentation, and close collaboration with product and engineering.
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.
Design and execute experiments in reasoning model training, post-training alignment, test-time scaling, and systematic model evaluation for crypto-native applications.
Review and synthesize recent academic literature from NeurIPS, ICML, ICLR, and ACL to inform ongoing research directions in reasoning, alignment, and agentic AI.
Implement model variants and evaluation protocols using PyTorch and the Hugging Face ecosystem, tracking experiments with Weights & Biases.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by 300+ million people in 100+ countries, the company has a flat, results-driven culture and focuses on increasing the freedom of money and financial access worldwide.