Technical Program Manager at DeepMind

Bengaluru, Karnataka, India

DeepMind Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, BiotechnologyIndustries

Requirements

Candidates should possess 5 years of experience in project or program management, ideally within a Machine Learning or Artificial Intelligence environment, and demonstrate comfort navigating ambiguity and adapting plans as project conditions change. Strong communication skills and the ability to develop meaningful relationships with key stakeholders are also required, along with a foundational understanding of ML/AI principles and a commitment to continuous learning.

Responsibilities

As a Technical Program Manager, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change and meet objectives. You will work with researchers, engineers, product managers, and other stakeholders to define project scope, goals, timelines, and resource requirements, organizing and optimizing research into clear goals and objectives. Additionally, you will translate technical information to non-technical audiences, be the trusted owner of project status, anticipate and propose solutions to issues and risks, troubleshoot and resolve technical challenges, critically evaluate technical proposals, and demonstrate a curious mindset to inform program strategies.

Skills

Program Management
Agile Methodologies
Project Planning
Risk Management
Stakeholder Management
Technical Programs
Model Architectures
Research
Engineering
Product Management

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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