At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github. About the Role As an Open-Source ML engineer in Computer Vision, you will work mainly with existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets. You will bring your computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem and work with us to provide the best, simplest, and most intuitive computer-vision library in the industry. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, our forums, or slack. About you - Deep expertise in computer vision: object detection, segmentation, generative models, or multimodal systems. - Strong open-source presence: You’ve contributed significantly to CV libraries (e.g., OpenCV, Detectron2, MMDetection, or Hugging Face’s own transformers/diffusers), as a Core-Contributor or maintainer. - Scalability mindset: Experience optimizing models for production, deploying at scale, or improving inference efficiency. - Collaboration & mentorship: You enjoy working with cross-functional teams, reviewing PRs, and guiding junior contributors. - Alignment with our mission: You believe in democratizing AI and want to empower millions of builders with state-of-the-art tools. If you love open-source, are passionate about the new development of Transformers models in computer vision, have experience building, optimizing, and training such models in PyTorch and/or TensorFlow, serving them in production, and want to contribute to one of the fastest-growing ML libraries, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to grow continuously. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint. • Reinforcement Learning for Data Discovery: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable. • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions. • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components. • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence. • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

Role Description As a Viking Shipboard Leader, you represent Viking's values and leadership philosophy. You are a hospitality professional who demonstrates passion for excellence, takes ownership for your areas of responsibility, and believes in empowering your team with the skills, knowledge, and tools to succeed. You are an exceptional role model for the Viking Family and have strong motivation to achieve the company's goals and objectives. You are flexible, stress resistant, focused, and a truly committed team member. The Learning & Development Coordinator is responsible for all shipboard training processes, training record keeping, and the crew welfare program. They foster a culture of continuous learning and teamwork, enhancing crew engagement and job satisfaction. Responsibilities - Lead and manage all learning and e-learning programs on board the vessel, including planning, evaluation, and administration. - Deliver training courses including but not limited to the Viking Guest Service Excellence Program, Viking Onboarding Program, and Viking Leadership Program. - Drive leadership development by providing coaching to the Department Heads, Supervisors, and Crew Members to support their career growth and cultivate talent for succession planning. - Maintain and update training records in MXP, ensuring accurate data entry and reporting. - Support the Crew Purser with the sign-on process during periods of high crew turnover. - Schedule the monthly training calendar, in coordination with other training, HR, and operational needs. - Collaborate with onboard leadership and the HR Manager to assess crew performance and identify areas for improvement. - Support a multi-cultural team, maximizing crew satisfaction, productivity, and retention; visit departments daily for “The Daily Reunion”. - Evaluate the effectiveness of training programs by gathering feedback and monitoring outcomes, ensuring ongoing improvements and deliver this on a quarterly basis and upon request to the Viking L&D department. - Take part in Train-the-Trainer sessions for new learning content and learning meetings organized by the Viking L&D department. Qualifications - A minimum of 2 years of experience as an Onboard Trainer, L&D Coordinator, or similar position. - Strong presentation, communication, and facilitation abilities, with experience delivering training in a multicultural environment, ideally on board a vessel. - Exceptional leadership and interpersonal skills, with the ability to inspire and guide crew members and the Leadership Team. - Solid administrative skills are preferred, and proficiency in PC-based databases, spreadsheets, and word processing systems (Word, PowerPoint) is required. - Must be flexible, stress-resistant, and a committed team player. - Ability to work independently when delivering training and collaboratively when developing schedules and identifying needs with ship management. - Fluent in English - must be able to address any kind of information in an adequate manner with excellent oral and written English communication skills; the ability to speak an additional language is an advantage. - Guest-focused, service-oriented, positive personality, professional appearance, and impeccable hygiene standards are required, with excellent knowledge of all Public Health Policies. - Team builder with exceptional work ethic, motivational skills, training, and coaching abilities. Benefits - Paid flights to and from the ship. - Legal employment based on a 10-hour work day. - Fixed return dates at the end of your contract. - Free shipwide Wi-Fi. - Free accommodation. - Opportunities for growth and advancement in your career. Company Description Last updated: February 10, 2026 You can submit your Resume here by pushing the APPLY TO POSITION button below. If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: General Application .

Company: Gridlines is a rapidly growing financial modelling consultancy practice. We transforming the world of financial modelling, helping our clients to make complex financial decisions quickly and with confidence. We love to work with exciting clients that are making a big impact on the world around us, helping to tackle some of the world's greatest challenges. We plan to continue our rapid expansion and are looking for the brightest and best talent to join us on this journey. Role: We are seeking an experienced analyst that is passionate about financial modelling and driven by growth. You will work with a team of modelling professionals to create, analyse and optimise complex financial models, ensuring they are robust and reliable.