Software Engineer, Full Stack
Rad AI$125,000 - $150,000/year
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Seasoned Software Engineer with strong experience in full-stack engineering
- Excel at designing, building, and maintaining robust, scalable systems
- Passionate about building internal tools to power organization tech
- Ability to thrive on tackling complex technical challenges
- Skilled at translating diverse internal needs into effective and efficient software solutions
- Proactive in identifying opportunities to leverage technology for improvement
- No machine learning experience required
Responsibilities
- Partner with diverse internal stakeholders (across research, engineering, operations, etc.) to design, develop, deploy, and maintain robust, scalable full-stack software solutions and internal tools, ensuring high quality and reliability (End-to-End Solution Delivery)
- Ensure the optimal performance, reliability, and health of owned systems via effective monitoring, troubleshooting, and maintenance (Operational Excellence & Enhancement)
- Proactively identify and implement improvements through system optimisation, feature enhancements, and process automation (Operational Excellence & Enhancement)
- Work effectively and collaboratively with engineers, product/project managers, designers, and other stakeholders (Cross-functional Collaboration & Partnership)
- Act as a key technical contributor on tools that impact workflows across Google DeepMind
Skills
Full-Stack Development
Software Engineering
Data Engineering
Internal Tooling
Portfolio Management
Compute Resource Management
AI-Driven Tools
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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