Senior Data Scientist - Search and Personalization
CVS HealthSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- BSc, MSc or PhD/DPhil degree in computer science or other quantitative scientific field, or similar experience working in industry
- Solid proficiency in Python or C++
- Deep understanding of machine learning and statistics
- Experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks
- Experience with deployment in production environments
- Experience working with LLM or ML evaluations systems
- Solid understanding of Deep Learning fundamentals, including transformer architectures, attention mechanisms, and optimization techniques
- Experience adapting LLMs (e.g. supervised fine-tuning, RLHF, prompt optimization)
- Experience with data pipelines and techniques for processing large-scale user data
- Excellent communication skills and interpersonal skills
- (Preferred) Experience in empirically-driven research and development
- (Preferred) Experience working
Responsibilities
- Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack
- Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities
- Propose and implement targeted quality improvements via fine-tuning or prompting
- Develop robust evaluation techniques (both automated and with a human in the loop) to assess and hill-climb on personalization quality
- Act as primary owner and critical judge of model output quality for specific personalization features
- Contribute to the development of a robust data flywheel, driving continuous improvement and innovation
- Partner closely with research scientists, engineers and cross-functional partners (product and program managers) to advance the business goals of the organization
Skills
Machine Learning
AI Models
Model Post-Training
Model Evaluation
Data Retrieval
Data Summarization
Benchmark Creation
Data Collection
Data Synthesis
Model Serving
Production Deployment
Scalable Systems
Data Analysis
User Feedback
Personalization
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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