Be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status.
Do real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.
Break complex problems into concrete experiments and execute on them, independently or with a team.
AE Studio is a 160-person, fully bootstrapped ML consultancy that has spent over a decade building and shipping AI systems for clients. Without outside investors, we put money into alignment research through the AI Alignment Foundation, a nonprofit we founded to scale this work.
Design, develop, and optimize algorithms for workflow automation, which include computer vision and computational geometry components.
Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
Cellanome is a well-funded start-up tackling some of the biggest challenges facing biology today. They have a world class team of engineers, scientists, team builders and problem solvers to develop the next generation technologies.
Benchmark FP8 quantization across GPU families and ship a production config to achieve speedup.
Evaluate serving frameworks with speculative decoding to improve performance.
Build a fine-tuning pipeline to enable faster model training and deployment.
Fathom eliminates the needless overhead of meetings with an AI assistant that captures, summarizes, and organizes key moments. They are a small company that creates magical experiences through focused builders and values a supportive environment.
Build, validate, and ship predictive models such as churn prediction, LTV forecasting, and propensity modeling end to end.
Own the full ML workflow from problem framing to production deployment and monitoring.
Partner with Product, Growth, Engineering, and Finance to turn model output into actionable recommendations.
OnHires is hiring on behalf of a remote-first B2C SaaS company with a subscription-based product that is building its data function from the ground up. The client operates under NDA at this stage, and it is a scale-up environment with a forming data team.
Design and build systems that improve the efficiency of ML training and inference workloads.
Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
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, Reddit is one of the internet's largest sources of information.
Review materials science papers and graphical abstracts generated by LLMs to ensure accuracy.
Identify and flag discrepancies where the abstract doesn't match the original paper.
Apply deep expertise to improve cutting-edge AI models through strategic document audit.
Prolific builds the world's largest pool of quality human data for AI development, connecting over 35,000 researchers with paid study participants. The company focuses on ethical data collection and flexible remote work for experts.
Lead the Learning team at Affirm, developing strategy and executing the design and delivery of solutions.
Partner cross-functionally with other teams to drive future programming and opportunities to grow employee capabilities.
Define, measure, and communicate relevant success metrics, demonstrating the value of Learning programs and investments.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They focus on attracting talent, enabling growth, and retaining employees through thoughtful experiences and rewards for their 2500+ employees.
Design and implement content discovery algorithms to deliver a highly personalized user experience on Reddit's Notifications platform.
Enhance core recommendation capabilities including candidate retrieval, ranking models, and budget optimization, deploying ML models and integrating LLMs.
Serve as the primary ML domain expert, driving architectural decisions and collaborating with product, infrastructure, and data science teams.
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 unique visitors, Reddit is one of the internet's largest sources of information.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Experts in systematic strategies across equities, equity derivatives, and multi-asset with robust backtesting and signal research.
Strong writing and communication skills to articulate and defend research views clearly to institutional clients.
Ability to combine market intuition with statistical learning to create differentiated proprietary datasets and models.
Smartkarma connects independent investment research analysts to institutional asset managers via a cloud-based platform. The company has over 4,000 companies covered, 200 institutional subscribers, and is backed by investors like Sequoia Capital and Singapore Exchange.
Build, validate, and improve machine learning and statistical models used in BlueConduit's infrastructure analytics products.
Design validation approaches and communicate model uncertainty, limitations, and tradeoffs clearly to internal teams and customers.
Use modern AI coding tools such as Claude Code, Codex, or similar systems to accelerate development while applying strong independent programming judgment.
BlueConduit is an infrastructure analytics SaaS company and social enterprise that helps communities make better decisions about critical water infrastructure. We are a small, remote-first team committed to using data science for social good and building trusted tools for high-stakes infrastructure decisions.
Collaborate with advanced AI models on real-world STEM problems to document failure modes and harden reasoning.
Verify factual accuracy and logical soundness of model responses in mathematics, physics, chemistry, and engineering.
Suggest improvements to prompt engineering and evaluation metrics based on reproducible error traces.
This company is building the next generation of AI by training large language models to become powerful engines of scientific discovery and technical problem-solving. They are seeking STEM specialists to provide high-quality training data, and operate as a contractor-based platform.
Develop large-scale datasets and machine-learned force fields for materials discovery.
Support the design and implementation of computational workflows simulating the reactivity and dynamics of catalytic materials.
Support catalyst discovery and optimization projects with industrial partners in the chemical and energy sectors.
SandboxAQ delivers AI solutions addressing world challenges using Large Quantitative Models (LQMs). They are a global, tech-focused team with experts in AI, chemistry, cybersecurity, and more, originating from Alphabet Inc. with growth capital backing.
Design, implement, and evaluate deep learning models across biomedical data modalities.
Develop multimodal AI architectures that integrate imaging, molecular, and clinical data sources.
Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS).
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other.
Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Build, deploy, and maintain production systems for measurement products like MMM and Incrementality.
Translate statistical and causal inference methods into scalable, customer-facing capabilities.
Debug data, modeling, and production issues across the full stack from source data to customer outputs.
Northbeam builds a marketing intelligence platform for eCommerce brands, using attribution modeling and dashboards to track ad spend and customer journeys. They are a remote-friendly, high-growth company with offices in San Francisco and Los Angeles, seeking driven, collaborative team members.
Partner with subject matter experts to assess training needs and design effective learning solutions across translational sciences, clinical operations, and regulatory compliance.
Coordinate new hire onboarding and maintain training documentation, records, and reporting in accordance with regulatory expectations.
Manage learning platforms, deliver instructor-led and e-learning programs, and serve as primary intake point for training requests.
Precision for Medicine is a global precision medicine clinical research services organization that integrates clinical operations, laboratory expertise, and advanced data sciences to improve clinical research and development. The company focuses on trials from early development through approval, with embedded experience in oncology and rare disease, and operates as part of Precision Medicine Group.
Spot products and features that are missing in the current market.
Work backwards to develop new methods to solve customers problems.
Consider the expected return on investment of different approaches.
Fal is the generative media ecosystem powering the next generation of AI products. Fal builds the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise.
Design and manage search recommendation services and models to support the content team.
Utilize machine learning-based personalization to enhance content matching and distribution.
Collaborate with cross-functional teams to identify needs and define success metrics.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, Binance offers a range of products from trading to Web3 with a flat organizational structure and a focus on user-centric innovation.