Developer Relations Engineer at DeepMind

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates must possess a Bachelor's degree or equivalent practical experience, along with 7 years of experience in machine learning algorithms and tools such as TensorFlow, Keras, and LLMs, or in artificial intelligence, deep learning, or natural language processing. Additionally, 5 years of experience in a technical role like software engineering or AI engineering is required, along with coding expertise in Python, Typescript, or Javascript. The ability to produce excellent code samples, clear documentation, and effective how-to materials is essential, as is a collaborative mindset and the ability to own problems end-to-end.

Responsibilities

The Developer Relations Engineer will lead the technical go-to-market strategy for new AI models and tools, creating developer assets like demos, tools, and guides to ensure developer success. They will drive the growth of the developer ecosystem by identifying and cultivating strategic technical partnerships and leading integration efforts with key frameworks and platforms. Responsibilities also include championing developer education and engagement at scale by representing Google DeepMind as a technical authority at events and creating authoritative content such as videos, blogs, and workshops. Furthermore, the role involves shaping the product and research roadmap by translating developer feedback and technical insights into actionable requirements and acting as the "zeroth customer" by collaborating with engineering on early designs and providing hands-on feedback for new features and APIs.

Skills

Generative AI

Developer Experience

Technical Outreach

Technical Communication

Product

Engineering

Research

Community Building

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

Developer Relations Engineer at DeepMind

Requirements

Responsibilities

Skills

DeepMind

About DeepMind

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.

Developer Advocate

Machine Learning Engineer

Field CTO

Developer Relations Lead

Software Engineer, Ecosystem

AI Solutions Engineer

Senior Machine Learning Engineer - Machine Learning Infrastructure