обновлено 3 месяца назад
Research Engineer / Research Scientist (AI)
350 000 - 850 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Engineer / Research Scientist (AI): Conducting research, development, and evaluation for state-of-the-art Claude models with an accent on visual and spatial capabilities. Focus on architectural variants, data strategies, SL/RL techniques, and building agentic infrastructure for visual inputs.
Location: This is a hybrid role based in New York City, San Francisco, or Seattle. All staff are expected to be in one of our offices at least 25% of the time.
Annual Salary: $350,000 - $850,000 USD
Company
Anthropic is a public benefit corporation whose mission is to create reliable, interpretable, and steerable AI systems.
What you will do
- Run experiments to evaluate architectural variants, data strategies, and SL/RL techniques to improve Claude’s vision.
- Develop and test tools, skills, and agentic infrastructure for Claude to reason over visual inputs.
- Create evaluations and benchmarks to measure progress on multimodal capabilities across training and deployment.
- Partner with the product organization to address API customer challenges related to vision and spatial reasoning.
Requirements
- 7+ years of ML, computer vision, and software engineering experience.
- At least a Bachelor's degree in a related field or equivalent experience.
- Familiarity with the architecture, training, and operation of large vision language models.
- Experience creating and evaluating large synthetic and real-world visual training datasets.
- Experience engaging in systematic prompting, finetuning, or evaluation.
Nice to have
- Experience with large-scale pretraining, SL, and RL on language models.
- Deep learning research on images, video, or other modalities.
- Developing complex agentic systems using LLMs.
- High-performance ML systems (GPUs, TPUs, JAX, PyTorch).
- Large-scale ETL and data pipeline development.
Culture & Benefits
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave.
- Flexible working hours and a collaborative office space.
- Focus on high-impact AI research and advancing long-term goals of steerable, trustworthy AI.
- Visa sponsorship is available for eligible candidates.
- Value communication skills and empirical science approach to AI research.
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