Sr Research Scientist — Real-Time AI & System Efficiency

adaption; United States; Hybrid; USD 130,000 - 150,000; Full time

Benefits offered by this job

Flexible work

Adaption Passport

Lunch Stipend

Well-Being benefits

Job summary

adaption is seeking a Researcher to develop models that evolve with the environment, emphasizing efficiency and interaction. Ideal candidates will have a PhD in computer science and 4-5 years of practical experience, with skills in Python and deep learning frameworks.

Benefits include flexible work arrangements, an annual travel stipend, and comprehensive medical benefits. If you're adaptable and enjoy tackling bold ideas, we want to hear from you!

Qualifications

• 4-5+ years of industry experience required.
• Publishing record at ICML, NeurIPS, ACL, ICLR, EMNLP.
• Ability to understand and optimize across the full ML stack.
• Strong programming skills required.

Responsibilities

• Innovate quickly, focusing on impact rather than just effort.
• Collaborate to unlock system-wide efficiency gains.
• Measure real-world impact as a signal of value.

Skills

Programming skills in Python

Deep learning frameworks (PyTorch, JAX, TensorFlow)

Model efficiency

Real time alignment

Algorithmic optimization

Education

PhD or equivalent research experience in computer science

Tools

Model optimization techniques (RLHF, finetuning)

Job description

adaption is seeking a Researcher to develop models that evolve with the environment, emphasizing efficiency and interaction. Ideal candidates will have a PhD in computer science and 4-5 years of practical experience, with skills in Python and deep learning frameworks.

Benefits include flexible work arrangements, an annual travel stipend, and comprehensive medical benefits. If you're adaptable and enjoy tackling bold ideas, we want to hear from you!