AI Researcher (Multimodal Perception Models)
TavusSalary not specified
£250,000 – £270,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Significant software engineering experience
- Results-oriented, with a bias towards flexibility and impact
- Ability to pick up slack, even if it goes outside your job description
- Enjoys pair programming (we love to pair!)
- Desire to learn more about machine learning research
- Concern for the societal impacts of your work
- Minimum Bachelor’s degree in a related field or equivalent experience
Responsibilities
- Develop new architectures for modeling multimodal data
- Study how multimodal architectures interact with text-only models at scale
- Build infrastructure for complex multimodal reinforcement learning environments
- Build high-performance RPC servers for processing image inputs
- Develop sandboxing infrastructure for securely collecting data
- Develop tooling to collect, process, and clean multimodal data at scale
- Work across training, inference, system design, and data collection
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for this position?
The salary range is £250,000 - £270,000 GBP.
Is this role remote or hybrid, and what are the office expectations?
This is a hybrid role expecting staff to be in the office at least 25% of the time, with some roles possibly requiring more.
What are the key required skills for this Research Engineer/Scientist role?
Key requirements include significant software engineering experience, results-oriented mindset with flexibility and impact focus, ability to pick up slack beyond job description, enjoyment of pair programming, desire to learn machine learning research, and concern for societal impacts.
What is the company culture like at Anthropic?
Anthropic fosters a collaborative environment with pair programming, a quickly growing team of researchers and engineers focused on safe AI, and a bias towards flexibility, impact, and picking up slack across a large stack.
What makes a strong candidate for this role?
Strong candidates have experience with high performance large-scale ML systems, knowledge of GPUs, Kubernetes, Pytorch or OS internals, language modeling with transformers, reinforcement learning, or large-scale ETL, in addition to meeting the core requirements.
Anthropic
Develops reliable and interpretable AI systems
About Anthropic
Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$11,482.1MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees
Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Risks
Ongoing lawsuit with Concord Music Group could lead to financial liabilities.
Technological lag behind competitors like OpenAI may impact market position.
Reliance on substantial funding rounds may indicate financial instability.
Differentiation
Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.
Claude, Anthropic's AI assistant, is designed for tasks of any scale.
Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.
Upsides
Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.
Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.
Focus on AI safety aligns with increasing industry emphasis on ethical AI development.
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