Own fraud detection models end-to-end, from data acquisition to production and monitoring.
Research new fraud vectors and develop products for identity verification and financial risk.
Write production code and present analyses to drive product, risk, and sales decisions.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We are a rapidly growing fintech startup backed by world-class investors, with offices across the US and India.
Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition to monitoring.
Research new types of fraud and build products around identity verification using Python and AWS infrastructure.
Write production-ready code and present analyses to inform data acquisition, product development, and marketing efforts.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors including Craft Ventures and Andreessen Horowitz, the company has grown rapidly, verifying hundreds of millions of identities and earning recognition from Forbes and CNBC.
Develop action-oriented insights through causal analysis and experiment meta-analysis to drive product strategy.
Uplevel experimentation practices by guiding design, execution, and deep dive analyses of A/B tests.
Create new ETLs, tables, dashboards, and self-serve tools to enable seamless data access for teams.
Reddit is a community of communities where users share interests and conversations. With over 100,000 active communities and 130 million daily active users, it is one of the largest information sources on the internet.
Lead the Fraud Intelligence team analyzing large-scale data to detect and prevent fraud.
Manage and mentor junior analysts, develop monitoring dashboards, and collaborate with cross-functional teams.
Own fraud savings metrics and AI agent performance, driving continuous improvement.
Extend is revolutionizing the post-purchase experience for retailers with AI-driven solutions. The company partners with over 1,000 merchants and is backed by prominent investors, offering a collaborative and supportive environment.
Drive GenAI-powered recommendations leveraging Reddit's unique community landscape and conversational data.
Set technical direction for relevance and feeds teams, influencing strategy across multiple orgs.
Mentor and grow senior and staff engineers while fostering a strong engineering culture.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open conversations. With 100,000+ communities and 130 million daily active users, it is one of the internet's largest information sources.
Own the technical strategy for the end-to-end Ads ML engineer lifecycle, focusing on feature development and training iteration.
Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, and quality.
Build platform abstractions and workflow automation to make ML development faster, safer, and more self-service.
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, it is one of the internet's largest sources of information and has a culture of openness and authenticity.
Work with large scale back end systems to detect fraudsters using rules and productionalized machine learning models.
Collaborate cross-functionally with product managers, data scientists, and operations to identify and prioritize fraud detection opportunities.
Build tooling and automation for operations to more effectively reduce fraud and prevent fraudulent listings.
Airbnb provides a platform for hosts to offer unique stays and experiences, enabling guests to connect with communities authentically. The company has over 5 million hosts and has welcomed over 2 billion guest arrivals globally, fostering a culture of inclusion and belonging.
Own the full model lifecycle from requirements and feature engineering through deployment and monitoring, partnering with ML engineers.
Translate complex fraud patterns into well-framed ML solutions, defining what to model and where ML adds value.
Design feature engineering pipelines, monitor model quality in production, and collaborate across teams to drive fraud strategies.
Extend revolutionizes the post-purchase experience for retailers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. Backed by prominent technology investors and headquartered in San Francisco, Extend works with over 1,000 leading merchant partners across industries, fostering a collaborative and supportive culture.
Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure.
Leverage AI-powered analytics tools to accelerate insight generation and automate repeatable analysis.
Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data.
Vanta helps businesses earn and prove trust by enabling continuous security monitoring and compliance. With thousands of customers, Vanta has a kind and talented team focused on building the leading Trust Management Platform.
Build and operate large-scale backend systems that detect fraudulent activity using rules, machine learning models, and high-volume data pipelines.
Investigate end-to-end systems to understand how fraudulent listings are created and where vulnerabilities exist.
Partner with machine learning engineers, data scientists, product managers, and operations teams to deliver high-impact fraud prevention initiatives.
This partner company is a mission-driven trust organization focused on protecting users from fraudulent listings and harmful experiences. They operate a global platform and value curiosity, technical depth, and collaboration among their teams.
Monitor marketplace activity to detect suspicious behaviors and prevent fraudulent transactions.
Analyze data to identify fraud patterns, emerging risks, and new attack vectors.
Investigate escalated cases and recommend actions based on risk assessment.
Eneba is building an open, safe and sustainable marketplace for gamers, supporting close to 20 million active users. The team is international and fast-scaling, with a focus on trust, safety, and collaboration.
Own the end-to-end data science engine for a priority vertical, driving measurable revenue and media efficiency.
Focus on Insurance and Advertiser Quality, with scope broadening over time.
Deliver buying models that maintain positive ROAS and drive lead quality improvements across the portfolio.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through its brands. They are a profitable, bootstrapped company with a remote-first team across 18 countries.
Investigate fraud attacks, quantify their impact, and present clear findings to drive prioritisation and response.
Build and maintain dashboards to monitor fraud trends, rule performance, and key operational metrics.
Work closely with fraud operations, data scientists, engineers, and product managers to translate insights into action.
Moniepoint is an all-in-one financial services platform for emerging markets, processing the majority of POS transactions in Nigeria. It is the second-fastest growing company in Africa with a culture of innovation, teamwork, and growth.
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.
Serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success.
Partners directly with clients to design, implement, and evolve marketing & data analytics programs.
Leads engagements that require integration of multi-channel data and development of insights frameworks translating analytics into business outcomes.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. With 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.
Use data, experimentation, and machine learning to solve complex product and business problems at high-growth startups.
Partner with product, engineering, and business leaders to identify high-impact opportunities for data science.
Develop predictive models, design experiments, and translate analyses into clear recommendations for stakeholders.
SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they are looking to connect with exceptional data scientists who are excited about using data, experimentation, and machine learning to solve complex problems.
Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, conversion, and value optimization.
Own end-to-end model development from opportunity sizing to monitoring and iteration.
Drive complex initiatives requiring coordinated changes across multiple teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and 130 million daily active users, it is one of the internet's largest information sources.
Develop models to optimize marketing spend allocation, channel mix, and budget pacing.
Design decision systems that turn data into repeatable, actionable recommendations.
Lead experimentation and causal measurement to improve marketing investment decisions.
Oura empowers people to own their inner potential through award-winning products that provide insights into readiness, activity, and sleep quality. As a fast-growing company focused on health, we support our team with resources to do their best work.
Own the architecture and long-term direction of the intelligence-fusion platform.
Design new detection and correlation approaches that anticipate how manipulation evolves.
Ingest new on-chain and OSINT data sources and extract more signal.
Polymarket is the world's largest prediction market platform, enabling individuals to trade on outcomes of real-world events. We are growing rapidly, with $21B traded in 2025, and we aim to be a ubiquitous beacon of truth in global media.
Take full ownership of fraud detection and prevention for one of Eneba's products.
Analyze large datasets using SQL to identify fraud patterns and design countermeasures.
Collaborate with cross-functional teams to improve fraud and verification systems.
Eneba builds an open, safe and sustainable marketplace for gamers. We support close to 20 million active users and are growing fast with a culture of trust and innovation.