Deepmind
Research Engineer, Materials Science
Mountain View, California, US · Full-time
Sponsorship not specified$141k-$202kDetected 55 days ago
AlgorithmsMachine LearningDeep LearningTensorFlowPyTorchPandasNumPyData AnalysisNLPLLMsStatisticsA/B TestingElectrical EngineeringResearch
About the role
- To succeed in this role you will need to be passionate about advancing material science using machine learning and other computational techniques.
Responsibilities
- Implement tools, libraries and frameworks to speed up and enable new research.
- Collaborate with internal and external scientific domain experts.
Requirements
- Research Engineers come from a diverse set of backgrounds, sometimes with degrees in Computer Science and sometimes with extensive experience with real problems, or both.
Skills
- Degree in computer science, electrical engineering, science, mathematics or equivalent experience.
- Experience applying software engineering principles in a scientific research environment.
- Knowledge of linear algebra, calculus and statistics equivalent to at least first-year university coursework.
- Experience exploring, analysing, and visualising large and noisy datasets.
- Experience using Jax, PyTorch, TensorFlow, NumPy, Pandas or similar ML/scientific libraries.
- Specific domain expertise in areas like inorganic chemistry, solid-state physics, or materials synthesis.
- Experience developing custom LLM agents or tool-using systems.
- Experience with concurrent and distributed software algorithms and architectures.
- Masters or PhD in computer science, electrical engineering, science, mathematics or equivalent experience.
Compensation
- The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits.
Benefits
- Plan and perform rapid prototyping of machine learning techniques applied to problems in science.
- Make improvements to model architectures and training procedures of machine learning models.
Company info
- In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
Visa & Work Authorization
- 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, pre
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This listing is sourced directly from Deepmind's careers page and normalized into a canonical job model.