Research Engineer, Gemini Post Training, Model Behavior
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Job Location:
Mountain View, CA - USA
Monthly Salary:
$ 166000 - 244000
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Snapshot
Artificial Intelligence could be one of humanitys most useful inventions. At DeepMind were 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.
About Us
The Model Behavior team focuses on aligning Gemini models with human needs. We ensure that Gemini is safe robust and reliable while optimizing its helpfulness to be context-aware and deeply aligned with user intent.
The Role
We are looking for a Research Engineer with proven leadership experience building large-scale machine learning systems with expertise in modeling data engineering and evaluations to help us develop the best models as part of the Gemini Post-Training team with a focus on model this role you will help execute the teams strategic roadmap identify critical modeling needs and collaborate cross-functionally and across the stack to land improvements that truly make a difference to the user.
Key responsibilities:
- Develop techniques and data pipelines to optimize frontier Gemini models on key capabilities important for model behavior
- Build robust and real-world motivated evaluations
- Partner with feature teams to prioritize modeling needs and ship gemini powered features.
- Establish best practices for code health and documentation on the team to facilitate collaboration and reliable development.
- Mentor and guide junior engineers fostering their professional growth and development.
About You
In order to set you up for success as a Software Engineer at DeepMind we look for the following skills and experience:
- BS MS or Ph.D. in Computer Science Artificial Intelligence or a related field or equivalent practical experience
- Fluency in Python or C and JAX or similar ML framework
- Software engineering ML and data engineering experience (e.g. model training / deployment efficiency optimization data pipeline design ML infra)
- Experience building robust automatic or human evaluations for ML models
- Proven ability to lead engineering teams in fast-moving environments under ambiguity
- Excellent communication and cross-functional collaboration skills willingness to unblock others and pick up slack
Additionally this role may be a good fit if you
- Have hands-on experience with training and debugging LLMs. Experience with RL fine tuning methods are a plus.
- Enjoy the end-to-end process of productionizing cutting-edge research and taking projects from proof-of-concept to launch are passionate about applying AI for learning use cases obsess over the user and are excited about incorporating user feedback into the model development process
- Are well versed in Google infrastructure including for fine-tuning and serving Gemini models
The US base salary range for this full-time position is between $166000 - $244000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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 opportunity 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.
Required Experience:
IC
Key Skills
- Python
- C/C++
- Fortran
- R
- Data Mining
- Matlab
- Data Modeling
- Laboratory Techniques
- MongoDB
- SAS
- Systems Analysis
- Dancing
About Company
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
