• Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience. • Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team. • Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. • Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization. • Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges

• Build predictive models (forecasting, time series, trend analysis) on real-world program and financial data. • Design anomaly / outlier detection to surface risks, inefficiencies, and non-obvious patterns. • Own feature engineering, model evaluation, and interpretability (feature importance, SHAP-style analysis). • Work end-to-end from exploration → modeling → business-facing insights. • Partner with product and analytics teams to turn models into decisions.

Role Description As the Team Lead, Learning and Development, you’ll play a vital role in ensuring smooth collaboration within the Instructional Design Team, your departmental colleagues, as well as subject matter experts and stakeholders in other departments. You will lead the coordination of project timelines, manage approvals, facilitate communication, and support the overall workflow of our learning programs. This role is ideal for someone who thrives on structured planning, strong communication, and turning goals into actionable steps for the team. Key Responsibilities - Plan learning design projects with instructional designers, ensuring timelines, responsibilities, and deliverables are met, while fostering a positive, collaborative team environment. - Translate project plans into clear task lists, assigning responsibilities and monitoring progress across the team. - Serve as the main point of contact for other teams and stakeholders, building positive relationships, ensuring clarity, and aligning expectations throughout the project lifecycle. - Organize and track the status of project approvals and reviews, proactively following up to keep workflows moving. - Support people management functions such as assigning projects based on skills fit, monitoring capacity, and escalating bottlenecks where needed. - Develop and manage a limited number of your own e-learning projects as an instructional designer. - Support broader communication efforts – planning training launches, crafting clear, engaging messaging for both internal teams and client-facing audiences. - Contribute to process improvements that enhance team collaboration and the scalability of INFUSE Academy operations. Qualifications - Minimum 3 years of Mid-/Senior-level ID role experience or similar role within the L&D department. - 1+ year of experience in team coordination, leadership, or project management within learning or related fields. - Strong AI literacy. Experience with creating custom GPTs and scaling solutions across teams is a strong advantage. - Strong communication and relationship-building skills, with experience in managing change within teams. - Stakeholder Management – ability to effectively network & build relationships internally & externally. - Highly organized with a proactive mindset and strong attention to detail. - Comfortable adjusting plans based on shifting priorities. - A team player who can keep things moving while fostering a collaborative, supportive environment. - Impeccable English oral and writing skills. Benefits - A dynamic and supportive team environment focused on innovation in learning. - Meaningful involvement in training initiatives with global impact. - Career growth potential within a fast-paced, purpose-driven team. - Possibility to learn cutting-edge e-learning tools and approaches. - Access to high-quality professional development resources and marketing insights.

• You will be part of a 35-person team of engineering enthusiasts specializing in sensors, IoT, and hardware. • Together with your colleagues you will take on the following tasks: • You will develop a next-generation localization product with a learning-based map architecture. • You will design and implement visual and acoustic sensor systems for drone detection. • You will develop a multi-sensor perception and fusion system for the drone early-warning system. • You will run machine learning and AI models directly on local sensors instead of on cloud servers. • You will design scalable machine learning models and deploy them directly onto the drone-detection devices. • You will implement scalable intelligence with low-latency inference. • Together with Fusion Engineers, MLOps and DevOps Engineers you will enable fast and secure deployments. • You will monitor systems, troubleshoot incidents, and continuously improve observability. • If you wish, you can support on-site deployments, collect sensor data, and validate the technology in controlled field trials.