Senior Software Engineer, AI

SENIOR SOFTWARE 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 impact-focused Software Generalists to join our specialized team focused on serving frontier model creators and enterprise 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 frontier 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 will have regular in person collaboration with customers and our US team, as well as collaborate closely with our UK-based tech teams. This role is hybrid based out of our San Francisco office, approx 1-2 days a week.   What you’ll bring to the role * Over 4 years of experience in a product engineering role * Can translate business concepts into software models * Ability to quickly learn and adapt across the breadth of Prolific’s domains * Familiar working in both monoliths and distributed systems * Strong communication and collaboration skills for direct customer interaction * Good understanding of modern web applications and architecture design patterns * Experience supporting applications in production environments * Judgment to balance scrappy startup execution with scalable, reliable engineering * Comfort with rapid iteration and responding to customer queries with urgency * Experience with some of our technology stack: * 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, Kubernetees, Github Actions & CircleCI) * Instrumenting, monitoring & observability (we use Datadog)     What you’ll be doing in the role  This is a unique engineering role at Prolific. In this role, you will operate with high ownership and a product mindset, at start-up pace, to solve customer problems and capture business opportunities irrespective of the technology required to do so. You will be part of a cross-functional Product Engineering team, optimised for the success of a single customer group. You will collaborate directly with account managers, customer success specialists and customers to deeply understand their problem spaces. You will ideate and build with autonomy, supported by a high-performing team. This role will see you work across Prolific domains to solve customer problems, needing you to get up to speed quickly and deliver across shared codebases to a high engineering standard. You will also help support our systems in production & respond to incidents when required.     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 positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role’s location as well as your skills, experience, and relevant education or training. You can check the job posting’s subtitle to see where the position is based. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process. For pay transparency, the base salary range for this full-time role in San Francisco is $250,000 - $300,000 per annum.   Links to more information on Prolific Benefits  External Handbook  Website  Youtube    Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as: * Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way * Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers * Build tools to allow Databricks engineers to operate their services across different clouds and environments * Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: * BS (or higher) in Computer Science, or a related field * 5+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. * Experience with security and systems that handle sensitive data. * Good knowledge of SQL. Benefits * Comprehensive health coverage including medical, dental, and vision * 401(k) Plan * Equity awards * Flexible time off * Paid parental leave * Family Planning * Gym reimbursement * Annual personal development fund * Work headphones reimbursement * Employee Assistance Program (EAP) * Business travel accident insurance   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $166,000—$225,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.