Applied Scientist — Real-Time Adaptive ML for Production

Adaption Labs; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Annual travel stipend

Weekly lunch stipend

Comprehensive medical benefits

Generous paid time off

Job summary

Adaption Labs is looking for an Applied Scientist in San Francisco, California, to lead the development of innovative machine learning systems. This role demands hands-on execution from research to production, with responsibilities in designing, implementing, and deploying ML systems. Candidates should have 3-4 years of industry experience and expertise in ML frameworks such as PyTorch and TensorFlow. A flexible work environment with creative benefits including an annual travel stipend is offered.

Qualifications

• 3–4 years of industry experience in machine learning or applied research.
• Track record of deploying ML systems that solved real business problems.
• Strong software engineering skills.

Responsibilities

• Drive original work on efficient, adaptive ML.
• Lead design, implementation, and deployment of ML systems.
• Contribute to research direction and product strategy.

Skills

Machine learning deployment

Software engineering

Fluency with ML frameworks

Online learning

Reinforcement learning

Tools

PyTorch

JAX

TensorFlow

Job description

Adaption Labs is looking for an Applied Scientist in San Francisco, California, to lead the development of innovative machine learning systems. This role demands hands-on execution from research to production, with responsibilities in designing, implementing, and deploying ML systems. Candidates should have 3-4 years of industry experience and expertise in ML frameworks such as PyTorch and TensorFlow. A flexible work environment with creative benefits including an annual travel stipend is offered.