AI researcher
- Conduct cutting-edge research: Contribute to groundbreaking projects, particularly in the development, training, and ethical application of advanced language models. Push the boundaries of what's possible in AI.
- Stay ahead of the curve: Keep up-to-date with the latest AI advancements and apply them to your work, ensuring Writer maintains its competitive edge.
- Collaborate with cross-functional teams: Work closely with software engineers, data scientists, and other researchers to transform research into tangible evaluation metrics and product features, driving real-world impact.
- Develop and optimize models: Research, build, and train AI models, with a particular focus on large language models. Ensure efficient and effective model development using frameworks such as PyTorch and TensorFlow.
- Contribute to publications: Participate in the publication of high-impact research papers and represent Writer at top-tier conferences and industry events.
- Ensure Ethical application: Maintain a strong focus on the ethical implications of AI and ensure that all research and development aligns with best practices.
- Advanced LLM applied research: Experience fine-tuning agentic models to improve their performance and utility. A keen understanding of context window efficiency and its impact on model effectiveness.
- Expert-level programming: Proficiency in Python, enabling you to tackle complex projects and optimize performance.
- Deep expertise in AI model development: Extensive experience in researching, building, and training AI models, with a particular focus on large language models.
- Strong publication record: Significant contributions to the AI field, evidenced by publications in top-tier conferences and journals.
- Excellent interpersonal and communication skills: Proven ability to collaborate effectively with remote and cross-functional teams, ensuring clear communication and successful project execution.
- Education: A Ph.D. or MS in Computer Science, AI, or a related field is highly preferred, but exceptional candidates with equivalent experience will also be considered.
- Experience with scalable applications: Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc.
- Depth of knowledge with RAG implementation: Expertise in RAG (Retrieval-Augmented Generation) implementation and improvements.
- Generous PTO, plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave for all parents (12 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Competitive pension scheme and company contribution
- Annual work-life stipends for:
- Home office setup, cell phone, internet
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Competitive compensation and company stock options
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