Senior Software Engineer, Generative AI, LearnX
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience in AI/ML related engineering.
- 1 year of experience in a technical leadership role with software design and architecture; leading tech design and driving team execution.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience with data structures/algorithms.
- Experience in machine learning, building/training AI models, backend data infrastructure or data engineering.
- Experience in developing, deploying, managing, and maintaining machine learning models and infrastructure.
- Understanding of data engineering practices and principles (e.g., tools, processes, pipelines etc.).
- Ability to collaborate with other people, teams across the world and communicate cross-functionally.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a Senior Software Engineer at LearnX Zagreb, you will be a key contributor in developing AI driven capabilities and features for learning products in Search Web and Lens. You will work in close collaboration with product, surface specific engineering and research teams. You will include creating a training dataset, fine-tuning, prompt optimization, evaluating model performance, detecting headroom, launching AI driven features and ensuring surface specific quality. You will be involved in designing tech solutions to complex issues, collaborating with stakeholders and driving delivery.
Responsibilities
- Drive design and implementation of AI features for education in Search Web and Lens.
- Analyze model performance, diagnose loss patterns, and ensure high quality of AI educational user journeys.
- Drive cross-team collaboration with product and surface engineering teams, participate in product initiation, plan timelines and ensure engineering delivery.
- Propose improvements of the team's processes, practices and ensure technical excellence.
- Demonstrate growth mindset, self-reflection, mentor other engineers on the team and share expertise in AI/ML best practices and model development.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.