Software Engineer - Data Engineering, Robotics at DeepMind

Mountain View, California, United States

DeepMind Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Robotics, Machine LearningIndustries

Requirements

  • Bachelor’s degree or equivalent practical experience
  • 2+ years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree
  • Experience with production data systems and quality projects
  • C++ and Python programming experience
  • Experience in data analysis, debugging, experiment design and evaluation
  • Strong problem-solving skills

Responsibilities

  • Design and implement large scale data acquisition, processing and curation pipelines, assuming end-to-end ownership over the full lifecycle of high quality datasets for training advanced robotics foundation models
  • Systematically improve data quality by performing sophisticated data analysis, debugging and experiments, developing metrics, tests and monitoring mechanisms, which directly contribute to ML model improvements
  • Develop, improve large scale data pipeline infrastructure and tooling. Improve system reliability, usability and scalability, data safety and security over the full data lifecycle

Skills

Data Pipelines
Data Acquisition
Data Processing
Data Curation
Data Analysis
Robotics
Machine Learning
Foundation Models
Infrastructure
Monitoring
Scalability
Data Security

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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