• Develop and train ML/DL models using TensorFlow, PyTorch, or similar frameworks. • Process, explore, and validate large datasets. • Build, tune, and deploy machine learning pipelines. • Conduct statistical analysis, error analysis, and model optimization. • Document experiments, pipelines, and technical decisions. • Collaborate with product and engineering teams to align model design with business needs.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Airbnb is seeking a Machine Learning Engineer Intern for our 2026 Summer Intern Program. Machine Learning at Airbnb is a diverse and dynamic field, with teams working on various aspects of the ML landscape. We are using ML to tackle various challenges in search ranking, payments, fraud prevention, discrimination, and growth all while maintaining a beautiful experience. - Contribute to challenging projects - Drive a project from end-to-end that aligns with your technical interest and goals - Explore how new advancements in AI agents can be applied to Airbnb search and discovery experience - Own and drive a capstone project from beginning to end - Collaborate with multiple team members to achieve project milestones - Communicate with stakeholders across different teams to provide project updates - Seek and provide feedback throughout the internship - Actively participate in and contribute to the Engineering org and broader Airbnb community Qualifications - Doctorate students with at least 1 semester of school remaining after the internship (expected graduation after December 2026) - Studying Computer Science or a related field - Knowledge of AI, especially large language model (LLM) fundamentals including fine tuning, data synthesis, reinforcement learning, etc. - Expertise of building large scale ReAct style AI agents - Proficient in Python and other open source LLM libraries like Huggingface - Publications in top Machine Learning and NLP conferences are a big plus - Leadership position, AI community involvement, and or teaching/mentoring experience is a plus - Work authorization for employment in the United States is required Requirements - This position is US - Remote Eligible - The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager - You must live in a state where Airbnb, Inc. has a registered entity Benefits - Pay Rate: $4,500.00 biweekly - Pay Range: $20 — $50 USD - This role may also be eligible for benefits and Employee Travel Credits Company Description Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. - Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way - The Search Relevance and Personalization team is responsible for building search ranking algorithms and the personalization platform that serves multiple product surfaces - The team consists of 30+ ML Engineers working on different aspects of relevance and personalization - The team is very much experimentation oriented and runs frequent A/B tests to improve the relevance of the product surfaces they power - The team is also very much applied research oriented and regularly publishes work at KDD, CIKM and WSDM Conferences

• Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud • Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using GCP Vector Search or Pinecone • Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance • Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks • Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques • Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved

About Very (Remote – North America) Very is a fully distributed technology firm led by expert problem-solvers who create efficient, scalable solutions that move commercial, industrial, and consumer products from pilot to production in record time. We believe that real innovation happens in the grind — working shoulder to shoulder with clients who are building the future. Our team thrives on that energy. When we’re not helping clients deliver business-critical outcomes, we’re refining our craft and celebrating what it means to do hard things well. We’ve built a collaborative, tight-knit culture that thrives in both remote and in-person settings. We’ve won numerous workplace awards over the years, including Great Place to Work certification and recognition from Parity.org as a Best Company for Women to Advance.Our clients include well-known brands like Vizio, Peloton, Clear, iHeart Radio, and Fellowes — all determined to leverage connected devices and AI to drive meaningful impact. Our job is simple: help them win. About This Role As a Lead Mechatronics Engineer, you will work with our Hardware Practice Lead and other hardware engineers to deliver high-value electro-mechanical system designs to our clients.  Our goal is to rethink and retool the hardware engineering process to align it with modern software, design and data science development methods.  What You’ll Be Working On For this role we’re looking for polymath hardware engineers who are experts in MCAD and have a familiarity with ECAD. Some of the traits we are looking for include:  - Previous experience designing and testing electro-mechanical systems. - Knowledge of Design for Manufacturing (DFM) practices for electrical and mechanical. Familiarity with: - Microprocessors, microcontrollers, IoT communications protocols, and common sensors - Hardware prototyping tools (3D printers, soldering, oscilloscopes, electronic loads, etc) - Low-level embedded firmware or embedded Linux - Data collection techniques Our mechatronics engineers work across disciplines to deliver cutting-edge hardware solutions to our clients, fast. Outcomes - Delivery of mechanical/electrical hardware that meets the time, budget, and feature needs of Very’s customers. - Successful design and execution of hardware releases and test plans. - Project team adherence to Very’s standard of best practices across all engineering disciplines. Responsibilities - Work a target of 38 hours per week on a Very client engagement. - Serve as a Tech Lead overseeing the technical delivery on Very’s client engagements. - Oversee and/or design electronic/mechanical hardware for Very’s client engagements. - Serve as a technical interviewer in Very’s interview process. - Support sales in sales activities and statement of work generation. - Work with the Director of Hardware to improve standards and processes for hardware delivery. Minimum Qualifications Experience: - BS or higher in a related engineering field (Electrical Engineering, Mechanical Engineering, etc) - 5+ years of relevant experience Skills: In addition to experience, these are the critical skills we look for in all technical roles, and how they should be demonstrated at the Lead level. - Communicates Effectively: Demonstrates expert level communication skills. Can comfortably present information to clients that is clear and concise (verbal and written).  Can negotiate for positive outcomes with clients on projects that are any size, and any level of difficulty. Leans into complex conversations and effectively addresses escalated situations resulting in team/client alignment. - Independently resets the tone of the team or environment.  Redirects the team and client when needed on complex projects.  Negotiates positive outcomes by incorporating ideas and opinions from internal and external resources.  Thoughtfully considers all outcomes before jumping to change.  Is decisive, direct and respectful when communicating alternate solutions and ideas to influence for buy-in or change. - Teaches best practices and grows the capabilities of others. - Estimates are highly accurate across a wide array of technical domains. They use their knowledge to help their team provide accurate estimates about work across an entire project.   - Demonstrates mastery of working within an agile framework; Knows how to break down technical work into tickets, sprints, and epics without assistance. Ideal Additional Qualifications/Experience: - 10+ years of experience - M.S.+  in Mechanical/Electrical Engineering or closely related field Requirements: - Must be US-based. **Unfortunately, applicants who do not meet these criteria will not be considered.** Compensation Base Compensation Between USD $120,000 and $150,000 per year, commensurate with experience. Variable Compensation Up to 15% in the first year   Perks & Benefits - 401k match - Comprehensive health, dental, and vision insurance - $200/mo cell/internet stipend - $600/yr home office equipment stipend - Paid parental leave (95th percentile in the U.S.) - Continuing education stipend ($2,500/yr after one year) - Loaned MacBook Pro and other necessary equipment Why Work for Very We do not promise an easy ride — we promise meaningful work. We work hard because our clients’ success depends on it, and we take pride in delivering when others can’t. We collaborate closely, move fast, and stay grounded in results. We take joy in the process — in the problem-solving, the iteration, and the shared wins that come from doing the hard things well. If you’re looking for a place where every project matters, where the standards are high, and where you’ll grow by pushing yourself and others — welcome to Very. IMPORTANT: 1. We don't currently provide Visa Sponsorship. Don't apply if you require this. 2. This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed. Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another.  No contractors or agencies. Seriously. #LI-Remote