Head of ML Demand Generation

Neon

Many large companies make billions each year by monetizing Americans’ personal data. At Neon, we’re finally cutting consumers in on the deal. Neon allows our users to make hundreds (or even thousands) of dollars per year by securely selling their anonymized data. We recently raised $25 million dollars from Lightspeed, Upper90, Upfront Ventures, and other cool investors. About the role Your mission will be to transform Neon’s unique consumer data streams into the gold standard for AI training and evaluation. As the Head of Research, you will bridge the gap between our 500,000+ mobile users and the world’s leading AI labs, by directly interfacing and collaborating with your peers in these labs. You will define our research agenda, establishing Neon as a premier authority in audio data research and evaluation science. You’ll lead the development of AI assisted evaluation pipelines to characterize and validate the data our platform generates, ensuring it solves the "data bottleneck" for frontier AI models. This is a high-impact, foundational role where you will be the face of Neon within the global AI research community, translating theoretical data needs into tactical product execution. You have… * Authorization to work in the US. * Track record of impactful AI/ML research, specifically focused on data evaluation, oversight, and generative AI. * Significant audio and multimodal expertise, able to understand and clearly articulate the latest developments in the space. Speech specific expertise preferred. * Deep engagement with the AI research community; you speak the language of frontier labs and understand the current trends in model training and evaluation. * A "Founder’s Mentality"—you are comfortable with ambiguity and have a proven ability to translate complex research insights into production-ready data products. * Exceptional communication skills, capable of building relationships with top-tier researchers while clearly articulating Neon’s value proposition to partners. * Experience with Python and PyTorch, designing and conducting rigorous ML experiments and evaluations. Bonus points * Published authorship in top-tier AI/ML venues such as NeurIPS, ICML, ICLR, or CVPR. * Strong record of publications in data evaluations, especially for audio/speech, or multimodal . * Experience building technical communities or academic advisory boards from the ground up. * Specific expertise in evaluation science, including AI-assisted evaluation (RLAIF) or designing benchmarks for frontier capabilities. * An active presence on X or other research channels, demonstrating thought leadership in the AI data conversation.

Shift Technology

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.        Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com   This role leads the strategic expansion of our US Health AI roadmap. You will guide and scale a high-performing group of Data Scientists and Engineers focused on US Health, within our global 200+ person Data Science organization.  We are looking for a pragmatic visionary, a leader who views AI not as a feature to patch onto existing software, but as the foundational architecture for the future of healthcare payment integrity. You will be responsible for moving past basic automation into true Agentic AI, balancing rapid, bleeding-edge innovation with the rigorous, explainable guardrails required in healthcare compliance. What you'll do... * Define the AI Strategy: Own and execute the technical and strategic roadmap for the US Health payment integrity division, shifting the product line from passive anomaly detection to autonomous, multi-modal AI agents. * Lead Architectural Innovation: Champion the design and productization of robust data pipelines optimized for LLMs, ensuring the team successfully deploys advanced agentic frameworks (LangChain/LangGraph, OpenAI Agent SDK, MCP, A2A). * Enforce Responsible AI: Establish and oversee rigorous evaluation frameworks (including LLM-as-a-judge methodologies) to ensure all agentic decisions are completely unbiased, legally sound, secure, and fully explainable to enterprise clients. * Cultivate a High-Performance Team: Mentor, grow, and empower senior and junior data scientists. Foster a culture of high autonomy, rapid MVP prototyping, and continuous experimentation with next-generation AI stacks. * Client Advocacy & Executive Bridge: Lead high-impact client workshops, present cutting-edge prototypes, and translate complex technical architectures into clear, value-driven outcomes for healthcare payer executives and C-suite stakeholders. * Model-Agnostic Governance: Maintain a modular, agile product strategy, ensuring Shift’s infrastructure allows for seamless integration and swapping of underlying capabilities as the market evolves. What you bring... * You are an inspiring technical leader with 7+ years of Data Science experience, including a proven track record of leading teams of 7+ members for the past 5+ years with a deep understanding of Healthcare Insurance Payment Integrity / Fraud, Waste, and Abuse (FWA). * Advanced Generative AI Expertise: Proven hands-on experience designing and scaling production-level Large Language Models (LLMs), RAG systems, and autonomous multi-modal agent workflows. * Enterprise Technical Leadership: Strong background in object-oriented programming (OOP) and machine learning fundamentals, with a deep understanding of the full ML lifecycle (monitoring, versioning, and deployment). * Strategic Databricks & ML flow Mastery: Deep familiarity with managing enterprise AI environments utilizing Mosaic AI, Unity Catalog, Delta Lake, and leveraging MLflow for end-to-end experiment tracking and prompt engineering. * Exceptional Communication: A demonstrated ability to co-create products alongside clients, manage complex stakeholder expectations, and act as a bridge between deep technical execution and commercial business needs. Highly desired skills... * Active contributions to open-source agentic frameworks or the broader AI research community. * Experience navigating complex healthcare compliance landscapes (HIPAA, HITRUST) within cloud-hosted SaaS environments (Azure/Databricks). The range listed is for base compensation.  Your actual base salary will vary based on factors including location and individual qualifications objectively assessed during the interview process.  In addition to base salary, your total rewards package will include additional components such as incentive pay and benefits.  If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the specific details for this position. Base Salary Pay Range $160,000—$200,000 USD To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight: * Flexible remote and hybrid working options * Competitive Salary and a variable component tied to personal and company performance * Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth * Generous PTO and paid holidays * Mental health benefits  * 2 MAD Days per year (Make A Difference Days for paid volunteering) Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit. At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs. Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process. Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.

Moniepoint

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere. About the role:  We're looking for a Data Scientist to sit at the heart of how we fight fraud, building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats.  We are looking for a data-driven, intellectually curious Data Scientist who is energised by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem, partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems.  Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. What You’ll Do * Model Development: Prototype, evaluate, and help productionize machine learning models for fraud detection; own their ongoing monitoring and retraining cycles.   * Experimentation: Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction.   * Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions.   * System Maintenance: Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.   * Cross-Functional Collaboration: Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations. We would love to hear from you if… * A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar) * 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime * Hands-on experience building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus * Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering * Proficiency in Python and SQL; comfort working across the full model development lifecycle * An investigative instinct, you enjoy digging into data to find patterns others miss * The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action * Comfort working in fast-paced, cross-functional teams with high ownership expectations What we can offer you * Culture: We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. * Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. * Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits What to expect in the hiring process * A preliminary phone call with the recruiter * An interview with a business lead * Technical take-home task (SQL/Python test and case study) * A behavioural and technical interview with the Head of Data Science and a member of the executive team Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.