What are the responsibilities and job description for the Machine Learning, Software Engineer, Multilingual Gemini position at DeepMind?
Snapshot
Join us in making the Google Gemini App the best general-purpose conversational AI in the world for global users.
We’re looking for a Software Engineer who is willing to embrace a fast-paced and agile environment with a lot of opportunities to make real-life impact on Gemini's non-English-speaking users.
About us
Our team works on developing high-quality multilingual and multimodal models and data, designing scaling processes and carrying out data analyses. We also train and adapt LLMs by closely collaborating with partnering engineering, infrastructure and cross-functional teams.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Gemini, the game-changing personal assistant powered by generative AI, revolutionizes your mobile experience. The Gemini mobile apps deliver tailored support directly to your device. Our team’s mission is to lead the charge in evolving Gemini on Android and iOS, placing Google at the forefront of the LLM and generative AI revolution.
The role
We're looking for a highly-skilled Software Engineer with a passion for building intelligent systems to join our team. You'll play a crucial role in enhancing and expanding the multilingual capabilities of our core, especially multimodal products. Experience with AI/ML/NLP is a plus, and a strong foundation in software engineering principles is essential.
Key responsibilities
- Designing and implementing robust infrastructure
- Evaluate model, identify and collect losses, and improve the model
- Carry out data analysis to identify and understand shortcomings
- Help scaling deliveries and processes
- Proactively identify gaps and opportunities to increase multilingual quality
- Act as an expert for your native language
About you
In order to set you up for success as an Engineer in the Multilingual/Global Team at Google DeepMind, we look for the following skills and experience:
- Bachelor’s degree or equivalent practical experience
- 4 years of software engineering
- Familiarity or strong interest in AI/ML/NLP, with a focus on multilingual and multimodal applications
In addition, the following would be an advantage:
- Experience in full-stack development is a plus.
- Background in statistics and in data or qualitative and quantitative analysis
- Own problems end-to-end and be passionate about maximizing AI technology impact
- Strong analytical, problem-solving and solution-oriented skills
- Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders.
- Team player with exceptional interpersonal, solution-oriented and solid communication skills
- Ideally (near-)native knowledge in (a) non-English language(s)
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
