Vendelux helps companies discover the best events. Event marketers are the unsung heroes of successful companies. From generating leads to building world-class brands, event marketers make magic happen throughout the year. Vendelux is here to help maximize the impact of all the events that a company sponsors and attends. We are a Series A SaaS company and provide the system of record for event marketing. Our software platform provides proprietary insights that helps high-growth companies find the highest ROI events, conferences and trade shows to attend and sponsor. We have built an AI-powered platform that customers describe as an event marketer’s dream. Vendelux was founded in 2021, and our recent $14 million Series A was led by FirstMark, whose portfolio includes companies like Shopify, Pinterest, Discord, Airbnb, Draft Kings, Carta and Justworks (amongst others). Our leadership team includes alumni from Bain, ZoomInfo, Shutterstock, Compass, ModernLoop, Forter, Zulilly, NewtonX. We’re looking for a Senior Engineer, Data & AI who thrives at the intersection of software engineering, data engineering, and applied AI to build production-grade systems. You’ll develop, deploy, and scale features that sit at the core of our product. This role is perfect for someone motivated more by impact than method, loves to solve data problems using whatever means necessary, and is eager to see their output shape the user experience. *Must be willing to commute to our NYC office at least once per month. Key Responsibilities Design & Build AI-Powered Features: Architect, implement, and ship data-driven product features, always starting with the customer problem first. From prototyping through production, you’ll apply the right level of technology (whether simple heuristics or advanced AI) to deliver impact. Build for Production: Build maintainable and scalable systems, including writing clean, testable code, integrating with new and existing data pipelines, and deploying solutions and services into cloud environments. End to End Solution Delivery: Operate as an end-to-end developer in a fast paced startup. This involves identifying opportunities, prototyping solutions, securing stakeholder support, and productionalizing features that deliver measurable business value. Applied AI Innovation: Research and apply modern methods (AI agents, LLMs, RAG, embeddings, supervised/unsupervised learning) to power new product capabilities, prioritizing impact and speed over perfection. Enhance User Experience Through AI: Translate business problems into AI solutions that improve user workflows, accelerate insights, and drive measurable value. Collaborate Cross-Functionally: Work with business stakeholders and other engineers to turn customer problems into technical requirements and impactful features. Qualifications 5+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products. Strong programming skills in Python and proficiency in SQL. Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent), Solid understanding of cloud-based infrastructure (AWS, GCP, or Azure). Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment. Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs. Demonstrated ability to translate business problems into data solutions that drive business value. Proven track record of shipping user-facing features with measurable impact. Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams. Startup experience preferred. Why Join Us Direct product impact: Your models will shape how event marketers discover, connect, and measure ROI. Product market fit: Customers love our platform; now it’s about enhancing the user experience and scaling with AI. Ownership: You’ll set the standard for how we build, evaluate, and ship AI at Vendelux. Growth: Work on cutting-edge problems in LLMs, recommendation systems, and applied ML. Team: Join a collaborative, ambitious group with backgrounds at top tech and consulting firms. Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds. Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

About N1: N1 is the first hyper-performant and horizontally scalable blockchain network designed to enable trustless computing at internet scale. N1 is comprised of a team spanning backgrounds from Harvard, CMU, DFINITY, VMWare, Galaxy Digital, and more, and is backed by top-tier institutions like Founders Fund, Kraken Ventures, SALT, Amber Group, and more. Position Overview: As a key member of the software engineering team, you will spearhead the development of the core backend components for our blockchain network, focusing on networking, reliability, and scalability. Your primary responsibilities will entail designing and coding core backend software components primarily in Rust, leveraging your extensive experience to ensure the creation, testing, debugging, and deployment of production-grade components. Your role will involve maintaining and enhancing high-quality software engineering practices within a prominent open-source project. Requirements:

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Develop infrastructure components for our ML inference platform using Python and Go Implement and maintain Kubernetes deployments for model serving Contribute to our inference orchestration layer for model deployments Build and enhance monitoring systems for model performance metrics Implement efficient resource management solutions for ML workloads Support infrastructure automation to improve ML deployment workflows Work closely with team members to implement technical solutions Help balance performance optimization with system reliability Participate in technical discussions around infrastructure improvements Learn and apply infrastructure best practices REQUIREMENTS BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Senior Infrastructure Software Engineer at Baseten, you'll architect and lead development of our ML inference platform that powers production AI applications. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Design and architect scalable infrastructure systems for our ML inference platform Lead optimization of Kubernetes deployments for efficient, cost-effective model serving Drive enhancements to our inference orchestration layer for complex model deployments Define monitoring strategies for model performance, latency, and resource utilization Develop advanced solutions for GPU capacity management and throughput optimization Establish infrastructure automation standards to streamline ML deployment workflows Partner with other engineers to translate complex inference requirements into technical solutions REQUIREMENTS Bachelor's degree or higher in Computer Science or related field 5+ years experience building production infrastructure systems Expert-level proficiency in Go, with Python experience a plus Deep expertise with Kubernetes in production environments Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus. Advanced understanding of distributed systems concepts and performance tuning Proven experience designing observability systems Track record of leading technical initiatives and mentoring engineers Experience with ML/AI workloads and MLOps platforms highly valued BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.