Prolific

Senior Product Engineer  Engineering   Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.   The role We’re looking for Senior Software Engineers with a ‘product builder’ mind-set to join our team and take a pivotal role in the development and guidance of our product. As a ‘t-shaped’ engineer, you will bring a broad practical knowledge across various areas of software development, complementing and supporting our growing team whilst likely having a deeper specialism in front or backend. This is an exciting opportunity to leverage your existing skills, experience, and knowledge to significantly influence the trajectory of our product as we aim to revolutionize research.   What you’ll bring to the role Deep understanding of modern web applications Experience building Typescript/Javascript applications and using NoSQL databases Experience using Python Knowledge of Event-Driven Architecture Experience using AWS (Serverless) and/or GCP Understand the importance of driving quality into code through test automation Have supported applications in production, with demonstrable experience of good observability practices within a full stack environment. (e.g. Rum, Tracing) Have worked in a collaborative environment with strong engineering practices and know what good engineering looks like Care about the product life cycle and are customer value focused Understand the value of continuous, iterative improvement using data to drive decisions and a culture of feedback Passionate about software development with an appetite for learning and self-improvement   What you’ll be doing in the role  As a member of a cross-functional, stream-aligned team, you will work collaboratively with the teams’ engineering manager, product manager, designer, and up to 4-5 other engineers, including a tech lead Using agile software development practices and a product mindset, you will work as a team to plan, build and support software that our customers love You will be highly self-motivated and energetic and enjoy working in a fast-paced environment with a bias for action Collaborating with teams outside of product engineering, working closely with customers and understanding their needs Be happy working in all the major cloud providers: AWS, GCP & Azure With a You Build It, You Run It mindset, you will have intimate knowledge of our products from code commit through to production operation Supporting production systems with monitoring tools such as Datadog Strive for stable systems observability You will champion our principles, fuel a growth mindset by getting involved in communities and help improve our engineering culture Pushing the boundaries, questioning the status quo, ensuring what we are doing and what we are building has high value and impact for our users   Key Technologies  Cloud Platforms: Google Cloud Platform and AWS Programming Languages: Python, JavaScript, and TypeScript Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures Databases: MongoDB and DynamoDB DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog   Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is p

Senior Software Engineer  Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We're looking for Senior Software Engineers with a 'product builder' mind-set to join our specialized team focused on serving frontier model creators and AI application developers. As a full-stack engineer, you will work across Prolific’s domains to solve customer and product problems. This is an exciting opportunity to work directly with cutting-edge AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering as Prolific revolutionizes research for the AI community. You'll need to be based within regular commuting distance of San Francisco office, to facilitate regular in person collaboration with customers and our US team, as well as working seamlessly with our UK-based tech teams.  What you’ll bring to the role 6+ years of relevant technical expertise in a product engineering role. Python (we use Django & Fast API) TypeScript and JavaScript (we use Vue.js) SQL and NoSQL databases (we use MongoDB and PostgresSQL) Building and deploying to the cloud (we use GCP, Github Actions & CircleCI) Instrumenting, monitoring & observability (we use Datadog) Good understanding of modern web applications and architecture design patterns Can translate business concepts into software models Familiar working in both monoliths and distributed systems Understanding of the importance of code quality and automated testing Strong communication and collaboration skills for direct customer interaction Ability to quickly learn and adapt across the breadth of Prolific’s domains Judgment to balance scrappy startup execution with scalable, reliable engineering Comfort with rapid iteration and responding to customer queries with urgency Experience supporting applications in production environments Experience working in a collaborative product engineering team Interest in the product lifecycle and delivering value to customers Comfortable learning from feedback and iterating based on data Curious and motivated to continuously improve your technical skills  What you’ll be doing in the role  You will be highly self-motivated and energetic and enjoy working in a fast-paced environment with a bias for action, making decisions balancing generic, scalable solutions with rapid, scrappy implementations Work as part of a cross functional team alongside engineers, product managers, account managers, and customer success specialists Collaborate directly with customers and stakeholders to understand their unique needs and translate those into proportionate and actionable next steps. Develop domain expertise in AI development workflows and frontier model training Respond quickly to customer queries and technical challenges, working in the open with the team, owning problems and their solutions Work across shared repositories with other tech teams writing clean, maintainable code while maintaining customer-specific focus Contribute to the design, implementation, and maintenance of product features, using agile development practices to plan and deliver work as a team Help to support production systems and respond to incidents when required Learn how our systems operate from development through to production Actively participate in team discussions, retrospectives, and knowledge sharing Continuously develop your technical and product understanding Collaborate effectively with UK-based teams across time zones Pushing the boundaries, questioning the status quo, ensuring what we are doing and what we are building has high value and impact for our users  Key Technologies  Cloud Platforms: Google Cloud Platform and AWS Programmi

Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role We're seeking a Research Engineer to conduct innovative research in key AI areas including evaluation methodologies (particularly those grounded in human data), alignment techniques, and synthetic data generation. You'll bridge the gap between cutting-edge AI research and practical applications, helping to translate research insights into valuable products and services. As part of our commitment to contribute to the wider AI community, you'll be involved in writing papers that advance the field. Your work will directly impact how we understand, evaluate, and improve AI systems through high-quality human data. What You’ll Be Doing Research & Innovation Lead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation Design and implement novel evaluation frameworks for LLMs and agent systems that are grounded in human data Contribute to the academic AI community through publications and open-source contributions Stay at the forefront of AI research and pioneer innovative approaches to tackle pressing open challenges in the field Technical Implementation Design and conduct rigorous experiments to study AI models and systems with sound methodological approaches Develop scalable frameworks for systematic evaluation of model behaviours and capabilities Create tools and frameworks that transform research insights into practical applications Build infrastructure to support large-scale research experiments when needed Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals Cross-Functional Collaboration Work closely with ML engineers, data scientists, and product teams to translate research insights into practical applications Mentor team members on advanced AI concepts and emerging research directions Communicate complex technical concepts to diverse stakeholders What You’ll Bring 5+ years of engineering experience with significant AI/ML focus Demonstrated research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches Experience with model fine-tuning, adapters, quantization, and distillation frameworks Self-motivation and ability to define and pursue research directions independently Excellent understanding of current challenges in AI safety, reliability, and alignment Strong communication skills and ability to explain complex research concepts clearly Passion for staying current with the rapidly evolving AI research landscape Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and