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.
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.
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.
You will own technical delivery across federal deployments, from first prototype to stable production.
You will embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models.
You will deploy and operate models in self-hosted, air-gapped, and edge environments, guiding stakeholders on operational value.
Deepgram is a leading Voice AI platform providing real-time APIs for speech-to-text, text-to-speech, and voice agents. With 200,000+ developers and 1,300+ organizations, Deepgram operates with an AI-first mindset and a fast-paced, innovative culture.
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.
Review and annotate audio and video content to support fraud detection, authentication, and deepfake detection technologies.
Apply classification criteria to identify fraud indicators, synthetic content, and other attributes while maintaining high-quality datasets.
Document observations and collaborate with Research Scientists to resolve edge cases and support model improvements.
Pindrop is a cybersecurity company that delivers continuous identity verification across voice, video, and digital interactions. It protects billions of high-risk interactions for leading enterprises and is recognized for innovation, backed by top investors, and values a diverse, inclusive, and remote-first culture.
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.
Build the Learning Gym, a sandboxed environment for training and evaluating AI agents on real Niural workflows with ground-truth reward signals.
Engineer verifiers, run reinforcement learning loops, and establish honest baselines to prove agent improvements generalize.
Write first-author research papers and internal technical reports, and represent the work externally through preprints and talks.
Niural is a global payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. It is a relentlessly ambitious team focused on building foundational internet infrastructure for the AI era.
Review and annotate high-resolution scans of international IDs to identify microscopic markers of forgery or tampering.
Evaluate liveness test data to help AI detect deepfakes, playback attacks, or 3D masks during face-matching.
Act as a fraudster by testing the system with edge-case documents and synthetic identities to find KYC model vulnerabilities.
TELUS Digital builds the 'Shield of Trust' for global digital identity by training AI to detect fraud and verify identity documents. With over one million contributors worldwide, they offer a flexible, remote community focused on innovation and impact.
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 inference systems powering RL research, scaling toward 1–3T parameter models on NVL72 clusters.
Optimize rollout throughput, multi-node MoE inference, and weight-update overhead for long-horizon agents.
Collaborate with model researchers on architecture choices balancing model quality and execution cost.
Prime Intellect is building the open superintelligence stack, unifying compute, environments, and deployment for frontier-scale AI post-training. Backed by $150M in funding, the team is mission-driven and hard-working, focused on accelerating open AI research.
Design and build challenging evaluations and executable environments for coding and long-horizon agents.
Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.
Investigate large datasets to identify fraud patterns and develop predictive features.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean Python/PySpark code and collaborate with teams to deploy models into production.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. They have an amazing team of 25,200 people in 32 countries with a people-first, inclusive culture.
Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking.
Develop and optimize features including embeddings, contextual signals, and cross-session behavior.
Mentor other MLEs and contribute to modeling best practices across the organization.
Reddit is a community of communities built on shared interests, passion, and trust. With over 100,000 active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information and employs a flexible first workforce.
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, build, and deploy LLM-powered agents that detect spam, harassment, and policy-violating content on Quora.
Develop agentic workflows to automate content moderation and user safety tasks at scale.
Evaluate model performance, investigate failures, and refine AI systems for accuracy and efficiency.
Quora is a global knowledge-sharing platform that connects people with expert answers. This role sits on a small, collaborative engineering team with a remote-first culture and a focus on AI safety and content quality.
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.
Design high-performance training platform components including orchestration, observability, and performance tuning.
Deliver end-to-end ML pipelines from dataset curation to training, validation, and deployment.
Drive technical direction across ML Platform, Infrastructure, Autonomy, and Safety teams.
Stack is developing revolutionary AI and advanced autonomous systems for safer, more reliable, and efficient operations, focusing on autonomous trucking. The Stack team brings decades of experience in real-world systems and is committed to a culture of inclusion, entrepreneurship, and innovation.
Explore complex datasets to identify fraud patterns and behavioral signals.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean, well-tested code and work with engineering to bring models into production.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.
Lead red team operations to proactively identify weaknesses across GenAI, cloud, and product systems.
Conduct adversarial testing on LLMs, including prompt injection, jailbreaks, and model extraction.
Partner with security engineering to turn findings into actionable defense improvements.
Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Protecting billions of high-risk interactions, it is backed by leading investors and recognized for innovation.
Distributed pretraining: Implement and optimize model-parallel training on heterogeneous GPUs under low-bandwidth, high-latency links.
Performance optimization: Apply techniques that reduce communication overhead while maintaining model convergence in challenging network environments.
Elasticity and fault tolerance: Build robust checkpointing and recovery so runs survive node churn as participants join and leave.
Pluralis Research is a decentralized AI research company developing Protocol Learning to train large models on consumer devices across the internet. The team is world-class and deeply technical, backed by tier-1 investors, with a remote-first culture.