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.
Develop novel hybrid machine learning and mechanistic models of bioprocess systems, from research proof-of-concept to production-ready use.
Own research projects end-to-end, collaborating with wet lab, dry lab, software teams, and leading academic and industrial partners.
Build transferable, uncertainty-aware models and real-time control layers for fermentation across organisms and scales.
Differential Bio is unlocking the potential of the bioeconomy by fixing how biological R&D and scale-up are done. They are an early-stage startup with a small but mighty team, focused on cutting-edge modelling and real-world bioprocess impact.
Take on difficult AI problems from hypothesis to deployment, developing new algorithms when existing approaches fall short.
Design rigorous benchmarks, ablation studies, and statistical evaluations comparing methods with leading academic and industry approaches.
Work across areas including training-data attribution, model influence, interpretability, embeddings, and multimodal similarity.
Sureel AI builds infrastructure for AI rights, licensing, attribution, protection, and intelligence starting in music. Acquired by Warner Music Group, they operate as an independent company combining startup speed with global reach, with a culture of high standards and low ego.
Train models and evaluate AI systems to deliver world-class AI to the warfighter.
Run experiments in reinforcement learning, pretraining, multimodal training, and related areas.
Work as a self-starter in a fast-paced Series-A startup, interacting with customers and owning projects.
EdgeRunner AI builds secure, edge-deployed AI that helps American warfighters make faster decisions and interact with robotic platforms using natural language. It's a Series-A startup with a remote-first culture and a team of researchers and ML engineers.
Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and EDA.
Define evaluation criteria and agent architectures for multi-step engineering workflows.
Build benchmarks and diagnostics to identify model failures and trace back to gaps in data or agent design.
Mistral is a full-stack AI company building frontier models, developer tools, and compute for enterprises. We are a diverse, dynamic team distributed globally, passionate about AI and committed to low-ego collaboration and innovation.
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.
Implement, validate, and iterate on machine learning algorithms for weld perception tasks including point cloud registration and seam detection.
Build and maintain data pipelines for training and evaluating perception models, spanning annotated 3D scan data and synthetic data generation.
Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed systems.
Path Robotics develops embodied intelligence AI systems that enable robots to adapt, learn, and perform real-world tasks, closing the skilled labor gap. The company is a team of intelligent, humble, and driven individuals working on hard problems to transform industrial automation.
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 multi-step LLM systems for reasoning, retrieval, planning, and tool use.
Own evaluation from offline benchmarks to online experiments and model-graded review.
Set quality, latency, and cost targets, and mentor senior engineers.
They build enterprise AI systems, specifically agent systems for large customers. As a late-stage, venture-backed company, they focus on shipping reliable AI to enterprise clients.
Conduct research on reinforcement learning algorithms for multimodal models, including diffusion-based approaches and unified frameworks.
Design and build scalable RL infrastructure and reward modeling to support distributed training and improve stability.
Develop benchmarking protocols, curate multimodal datasets, and advance next-generation RL paradigms for real-world applications.
Tether is a fintech company pioneering digital finance solutions, including the stablecoin USDT, and developing energy, data, and education products. The company is a fast, lean global team of top talent working remotely across the world, with a culture focused on innovation and transparency.
Lead ML/DL research on NGS data, setting technical direction and building models for Women Health and Organ Health.
Work with bioinformatics pipelines, design experiments, and ensure rigorous validation.
Mentor data scientists and contribute to IP through patents and publications.
Natera is a global leader in cell-free DNA testing dedicated to oncology, women's health, and organ health. Their team consists of highly dedicated statisticians, geneticists, and other professionals from world-class institutions.
Serve as the scientific authority on ground truth for AI agents in neuroscience, testing expert-level reasoning across all system levels.
Build benchmark tasks and datasets for normal function and disease, curating multi-modal data and writing gold-standard expert answers.
Set hard calls on contested claims and interrogate agent reasoning, challenging fluent but unsound conclusions.
Latch builds rigorous scientific benchmarks for AI agents across biology, working with frontier labs and pharma to test whether agents can handle real biological workflows. The culture is radically transparent, opinionated but respectful, with structured autonomy, regular outings, and a preference for onsite work in SF.
Shape ML course content including sections, lessons, labs, and notebooks.
Write and narrate short video lessons and record demo walkthroughs.
Collaborate with curriculum and production teams to deliver engaging training.
A global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes, and AI. Its courses are built around real labs and taught by practising engineers, fostering a collaborative and flexible culture.
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.
Build, train, and evaluate deep learning models on financial data to improve credit modeling and loss prediction.
Own projects end to end, from hypothesis to deployed models in Tilt's ML pipelines.
Experiment with representation learning and agentic AI tools to accelerate data science workflows.
Tilt builds mobile-first financial products and machine learning-powered credit models that look beyond credit scores to recognize real potential. They are a small, virtual-first team spread across 14 countries, focused on collaboration, fairness, and expanding access to credit.
Develop and test deep learning modeling approaches using transformers, embeddings, and neural networks.
Build frameworks that integrate into ML pipelines to improve credit modeling and loss prediction.
Use agentic development tools and design specialized agents to speed up data science and business workflows.
Tilt is a mobile-first financial technology company that uses machine learning and real-time financial signals to provide credit products beyond traditional credit scores. With millions of customers worldwide, Tilt is a virtual-first, collaborative team spanning 14 countries and 12 time zones.
Research and develop new methods that push the frontier of Speech AI.
Improve data quality, build evaluation harnesses, and analyze production model accuracy.
Partner with researchers and engineers to turn research prototypes into production-ready systems.
AssemblyAI builds best-in-class Voice AI models powering next-generation voice applications. With under 100 employees, the company is lean, capital-efficient, and meritocratic, giving every team member outsized ownership and impact.
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 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.