Applied Scientist - Real-Time Adaptive ML Systems

adaption; San Francisco (CA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Flexible work

Adaption Passport

Lunch Stipend

Well-Being benefits

Job summary

Adaption is seeking an Applied Scientist to drive advancements in machine learning and efficient AI systems. The role focuses on development from research to production. Candidates should have industry experience, strong engineering capabilities with ML frameworks like PyTorch, and a passion for tackling challenges creatively.

The ideal applicant enjoys collaboration and is adaptable. Adaption offers a flexible work culture and a range of benefits including a travel stipend and comprehensive medical coverage.

Qualifications

• 3–4 years of industry experience in machine learning or applied research.
• Fluency with ML frameworks such as PyTorch, JAX, and TensorFlow.
• Experience with online learning, reinforcement learning, or efficient ML architectures.
• Strong understanding of data modeling for training.

Responsibilities

• Drive original work on efficient, adaptive machine learning.
• Lead the design and implementation of ML systems end-to-end.
• Contribute to research direction and product strategy.
• Own implementation of data products, addressing novel challenges.

Skills

Machine learning

Software engineering

Online learning

Reinforcement learning

Communication skills

Tools

PyTorch

JAX

TensorFlow

Job description

Adaption is seeking an Applied Scientist to drive advancements in machine learning and efficient AI systems. The role focuses on development from research to production. Candidates should have industry experience, strong engineering capabilities with ML frameworks like PyTorch, and a passion for tackling challenges creatively.

The ideal applicant enjoys collaboration and is adaptable. Adaption offers a flexible work culture and a range of benefits including a travel stipend and comprehensive medical coverage.