Research Engineer / Research Scientist (AI)

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

hirify.global 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.