What We’re Looking For We’re seeking a Staff Machine Learning Engineer to join the Product Data Science team, a key contributor to our AI/ML growth. As a technical leader, you will help build enterprise‑scale NLP, ML, and AI systems that power the product across the organisation. This role offers the opportunity to architect ML/AI solutions from the ground up: crafting reusable, impactful components, defining architectures and models for complex tasks, and serving as a technical expert and mentor who shapes both our technology stack and team capabilities. You will have the autonomy to define end‑to‑end solutions for ambiguous, high‑impact problems while contributing to strategic direction and building the next generation of ML talent at the company. What You’ll Be Working On Serve as a technical leader for the ML/AI product initiatives, authoring, approving, and guiding architectural decisions. Handle deliverables, delegate effectively, and mentor engineers across teams. Architect scalable ML platforms and production data pipelines, collaborating cross‑functionally to integrate new data sources. Build and own end‑to‑end ML/AI solutions within the product, maintaining long‑term ownership through different stages of deployment, refinement, and iterative enhancements. Create novel and traditional ML/AI implementations for the in‑product experience, collaborating with Product, Design, Front‑ and Back‑End developers to educate teams and iterate through solutions and designs. Build end‑to‑end monitoring and telemetry systems to detect complex failure modes, deterioration of predictive accuracy, and usage patterns. Deliver tailored AI solutions by training, fine‑tuning, and deploying models ranging from statistical methods to cutting‑edge LLMs. Build productive partnerships across all stakeholder levels, from non‑technical to domain experts, with an open, inclusive, and expert outlook.



Drive continuous improvement and innovation through research, proposing adoption strategies of external solutions, identifying knowledge gaps within the team, and ensuring hiring and training initiatives address capability needs. We’d Love To Hear From People With 10+ years of experience in Machine Learning and Data Science, building and maintaining models in production environments. Strong expertise in Natural Language Processing, statistical modelling and analysis, and modern ML methods. Deep understanding of not just the models, but what’s happening within them—hands‑on experience building novel architectures for bespoke product solutions. Experience handling data at scale with familiarity in Human‑In‑The‑Loop labelling, training and scaling usable data, plus foundational exploratory data analysis. Proven expertise in creating evaluations and evaluation platforms for non‑deterministic systems, including LLM‑as‑Judge techniques, inferred signals, and traditional model evaluation mechanisms to validate performance and maximise ML/AI impact. Experience developing production monitoring and creating feedback loops using active feedback, passive signals, and user behaviours to identify key performance indicators for user journeys and experiences. Saa S development and deployment experience, building multi‑scaled, right‑sized ML solutions in Saa S environments with CI/CD code lifecycle practices in AWS environments and services (Kafka, EKS, Sage Maker, Athena). Demonstrated experience building LLM‑powered product integrations,



including agents and autonomous processes, RAG and context enrichment, and modern prompt engineering methods with guided generation and oversight. Proven leadership and mentorship capabilities as a technical leader with the ability to mentor engineers across teams and manage complex deliverables. Survey Monkey believes in‑person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem‑solving and decision‑making. As such, you will be required to work from a Survey Monkey office for up to one day every two weeks. Hybrid. Our Commitment to an Inclusive Workplace Survey Monkey is an equal‑opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities. Your Data For more information on how Survey Monkey (including its subsidiary and affiliated companies) processes your personal data as a job candidate or applicant, please see our Global Applicant and Candidate Data Privacy Notice. Please note that we may use artificial intelligence (AI) tools to support parts of the hiring process, such as sourcing candidates, reviewing applications, analyzing resumes, or summarizing interviews. These tools assist our recruitment team but do not replace human judgment. #J-18808-Ljbffr

📌 Staff machine learning engineer - italy (Italia)
🏢 SurveyMonkey
📍 Italia