Member of Technical Staff, Applied Research
RunwaySalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Agriculture, Artificial IntelligenceIndustries
Requirements
- PhD or equivalent practical research experience in Computer Science, AI, or a related field with a focus on computer vision and/or machine learning
- A strong publication record in top-tier AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR)
- Hands-on experience building and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch
- (Advantage) Demonstrated expertise in one or more of the following: generative models, segmentation algorithms, multi-modal fusion, spatio-temporal analysis
- (Advantage) Experience with or a strong interest in remote sensing or geospatial data
- (Advantage) A passion for applying AI to solve large-scale societal challenges like climate change and food security
- (Advantage) Experience mentoring students or junior researchers
Responsibilities
- Pioneering novel computer vision models to create a unified understanding of agriculture from diverse satellite data sources
- Solving core AI problems by developing generalizable models that are robust across varied agricultural systems, from smallholder farms to large-scale industrial fields
- Leading research toward the grand challenge of field-level crop yield forecasting. This involves advancing spatio-temporal reasoning and learning effectively from limited or sparse data
- Designing and executing large-scale experiments, writing high-quality, reusable code (JAX preferred), and contributing to a production-ready system
- Mentoring junior researchers, collaborating with cross-functional teams across Google, and publishing your work at top-tier conferences
Skills
Computer Vision
Machine Learning
JAX
Satellite Data
Spatio-Temporal Reasoning
Crop Yield Forecasting
DeepMind
Develops artificial general intelligence systems
About DeepMind
This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.
London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees
Benefits
Performance Bonus
Risks
Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.
Differentiation
DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.
Upsides
AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.
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