Technical Program Manager, Foundation Models (Staff / Principal)
Genesis TherapeuticsSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Machine Learning, AI ResearchIndustries
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related technical field, or equivalent practical experience
- 3+ years of experience in Technical Program Management, Program Management, or a related role within an advanced technical or research environment
- Proven experience partnering directly with research or engineering leads to define, drive, and deliver on high-impact, technically complex projects
- Strong analytical, problem-solving, and strategic thinking skills, with a demonstrated ability to understand complex technical systems and identify opportunities for acceleration
Responsibilities
- Partner with AI Research Leads to co-develop program strategies, goals, priorities, and success metrics for complex and often ambiguous research initiatives
- Apply deep technical understanding and program management expertise to guide research programs, influence technical decision making, and accelerate the delivery of research breakthroughs
- Lead the planning and execution of strategic research programs, performing technical due diligence to evaluate scope, establish milestones, and determine engineering resourcing needs
- Develop and implement mechanisms to monitor program performance, anticipate and manage risks, and track interdependencies with other research programs and teams
- Proactively identify, own, and implement opportunities for continuous improvement in research processes, tools, and methodologies to enhance research velocity and engineering excellence
- Facilitate communication and collaboration between research teams and with wider Google DeepMind/Google stakeholders, ensuring alignment with business objectives and responsible development practices
- Manage external partnerships with academic and industry organisations
- Distill complex technical information and program updates into clear and actionable insights for diverse audiences, including leadership
- Champion and contribute to a culture of excellence, impact, and creativity within the research unit
Skills
Program Management
Technical Program Management
AI Research
Strategic Planning
Research Leadership
Cross-functional Collaboration
Technical Acumen
Success Metrics
Project Execution
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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