Lead the design and implementation of AI, automation, and enterprise application solutions across finance and treasury technology environments.
Drive end-to-end automation initiatives and AI-enabled workflows to improve operational efficiency and decision-making.
Architect scalable enterprise applications and integration frameworks across finance platforms.
Coforge is a global digital services and solutions provider specializing in AI, automation, and enterprise technologies. They foster an inclusive culture and employ a diverse workforce across multiple regions.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Own the architecture for AI-powered security automation across cyber defense, from threat intelligence to incident response.
Unify internal telemetry, asset data, and external intelligence into defender-ready systems that scale operations.
Build and grow a high-caliber engineering team, enabling security practitioners to extend automation themselves.
ServiceNow is an AI platform company that helps 85% of the Fortune 500 integrate AI, data, and workflows. Founded on the idea of freeing people from busywork, it fosters an AI-native culture where technology and talent are unstoppable together.
Build systems that estimate causal response, choose actions, and generate useful information while updating policies and deploying within guardrails.
Work across causal modeling, uncertainty estimation, contextual bandits, policy learning, and production ML infrastructure.
Success is measured by measurable economic lift in controlled experiments, safe automation, and systems that improve by operating the business.
CSC Generation builds closed-loop decision systems that use machine learning to operate consumer businesses more intelligently. The company focuses on areas such as pricing, inventory, purchasing, promotions, marketing, and assortment.
Own the companion iOS app entirely from architecture to deployment.
Surface real-time emotional-state outputs from AI model through intuitive interfaces.
Build and ship a polished consumer-grade mobile experience.
A Y Combinator-backed consumer wearable AI startup is building a first-of-its-kind wearable device that reads and interprets real-time emotional states. The team is small (under 10 people), moving fast, with working prototypes and ex-Apple hardware veterans.
Set technical direction: identify promising verification problems and approaches, decide which bets are worth pursuing, and steer projects from idea through prototype.
Build and prototype: work across problems such as algorithms for recomputing AI workloads, ML engineering for inference pipelines, frontend engineering for demonstrations, and cybersecurity analysis of verification designs.
Build the team: manage and coach engineers, help set areas of specialization, and grow SASH's in-house verification capabilities.
Singapore AI Safety Hub (SASH) is launching the first international collaboration to develop globally trusted verification mechanisms for AI datacenters. SASH is a young, fast-moving organization with a small core team and international partners, offering substantial autonomy and a culture of making things happen.
Architect and maintain end-to-end traffic classification ML systems
Build rigorous evaluation frameworks to ensure model improvements are measurable
Partner with security and data engineering teams to integrate scoring intelligence
Airbnb is an online marketplace that connects hosts with guests, offering unique stays and experiences. Founded in 2007, the company has grown to over 5 million hosts and 2 billion guest arrivals, with a culture committed to inclusion and belonging.
Design and write high-performing scalable software for training models.
Develop new tools to support and accelerate research and LLM training.
Collaborate with engineering teams and scientific teams to implement experiments on cluster and data infrastructure.
Cohere is a security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products for real-world business problems. The company is a global team of researchers, engineers, and designers passionate about AI, headquartered in Toronto with offices worldwide.
Design and implement tool-based environments for knowledge work simulations.
Write clean and modular code to support reinforcement learning training pipelines.
Troubleshoot and refine environment mechanics based on testing feedback.
Terac is building the world's largest pool of vetted human experts for AI. They are a platform for researchers and AI labs to recruit, screen, and pay study participants across industries and skill sets.
Architect and lead the development of next-generation, large-scale machine learning techniques.
Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.