Role Description BetterHelp is looking for a Machine Learning Engineer to help build and scale the next generation of AI-powered experiences across our platform. This role will focus on Natural Language Processing (NLP), Large Language Models (LLMs), evaluation systems, and AI safety infrastructure. What will you do? - Develop and improve NLP systems and language model-powered experiences. - Fine-tune and optimize open-source and proprietary language models for domain-specific use cases. - Evaluate model performance and identify opportunities for quality improvements. - Design and implement evaluation frameworks to measure model quality, reliability, and business impact. - Build automated testing pipelines to identify regressions, quality drops, hallucinations, and failure modes. - Develop metrics and monitoring systems to continuously assess model performance in production. - Design and implement guardrails that improve model reliability, safety, and consistency. - Build systems to detect unsafe outputs, prompt injection attempts, abuse patterns, and fraud-related behaviors. - Partner with product and engineering teams to ensure AI systems behave predictably and responsibly. - Optimize inference performance through quantization, distillation, batching, and model serving improvements. - Deploy and maintain production-grade ML systems running on GPU infrastructure. - Improve latency, scalability, and operational efficiency of LLM-powered applications. - Partner closely with Product, Engineering, and Data Science teams to identify opportunities where AI can improve user experiences. - Translate business requirements into scalable ML solutions. - Communicate technical concepts clearly to both technical and non-technical stakeholders. What will you NOT do? - You will NOT worry about "runway", "cash left", or "how much time we have until the next round". - You will NOT be confined to your "job". - You will NOT be bogged down by office politics, ego, or bad attitude. - You will NOT get yourself burned out. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Qualifications - 3+ years of industry experience building machine learning systems. - Strong Python programming skills. - Experience working with NLP and Large Language Models. - Experience with PyTorch (preferred) or TensorFlow. - Strong understanding of deep learning fundamentals, transformers, embeddings, and modern NLP architectures. - Experience evaluating machine learning models and designing quality measurement frameworks. - Experience fine-tuning language models for production use cases. - Familiarity with model serving, inference optimization, and deployment workflows. - Experience working with SQL and large-scale datasets. - Excellent communication and collaboration skills. Benefits - Remote work with regular in-person bonding experiences sponsored by the company. - Competitive compensation. - Holistic perks program (including free therapy, employee wellness, and more). - Excellent health, dental, and vision coverage. - 401k benefits with employer matching contribution. - The chance to build something that changes lives – and that people love. - Any piece of hardware or software that will make you happy and productive. - An awesome community of co-workers. The base salary range for this position is $150,000 - $180,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements).

• Designing, building, and deploying Natera’s Generative AI and Machine Learning platforms. • Developing a production-ready Generative AI and MLOps platform with reusable components. • Ensuring platform components meet enterprise-grade requirements for scalability, latency, multi-region resilience, and cost efficiency. • Prototyping and productionizing multi-agent architectures for workflow automation. • Integrating tooling and APIs that allow agents to interact with internal systems, retrieve data securely, and take action under strict controls. • Automating data and model pipelines for RAG, LLM fine-tuning, and agent orchestration. • Implementing guardrails for compliance and safety.

Role Description Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including: - LLM fine-tuning and optimization - RAG/Search - LLM evaluation and testing automation - Feedback-based learning and guardrail for a wide range of applications in Airbnb The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. A typical day includes: - Envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems - Working cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products - Learning and sharing the latest AI/ML technologies with the team Qualifications - PhD/Master’s degree, preferably in CS, or equivalent experience - 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems - Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products - Experience with LLM driven chatbot and Agentic AI products would be a big plus - Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations Location 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. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. Benefits - Base pay range: $212,000 — $260,000 USD - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

• Support ML and Data Science workflows • Begin contributing as an IC through bug fixes and feature development • Begin contributing to strategic initiatives and frontend improvements • Expand operational readiness through code reviews and on-call exposure • Become fully integrated into the ML Tooling team and independently support internal tooling initiatives. • Build strong technical ownership across the application stack and deployment processes. • Contribute to roadmap initiatives improving tooling and authentication.