Field ML Engineer - Real-Time, Customer-Facing AI

adaption; San Francisco (CA); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Flexible work

Annual travel stipend

Weekly meal allowance

Comprehensive medical benefits

Generous paid time off

Job summary

A tech innovation company in San Francisco is looking for a customer-facing technical expert with strong software engineering and ML skills. You'll tackle customer challenges, implement ML solutions, and guide projects from discovery to deployment. The ideal candidate will have over 4 years of industry experience, particularly with frameworks like PyTorch and TensorFlow. This role encourages adaptability, communication, and ownership while offering flexible work and generous benefits.

Qualifications

• 4+ years of industry experience, including 2+ years in a customer-facing technical role.
• Solid understanding of data modeling and how curation decisions shape model performance.
• Experience training or fine-tuning models using human feedback or other adaptive learning techniques.
• Ability to operate across varied customer environments and tech stacks.

Responsibilities

• Identify high-leverage opportunities in customer problems and data workflows.
• Implement production-grade ML solutions that fill product gaps.
• Develop demos and deliver technical presentations to stakeholders.
• Be a strategic partner from discovery through deployment, accountable for results.

Skills

Software engineering skills

Familiarity with ML frameworks

Excellent communication skills

Understanding of data modeling

Experience with adaptive learning techniques

Tools

PyTorch

JAX

TensorFlow

Job description

A tech innovation company in San Francisco is looking for a customer-facing technical expert with strong software engineering and ML skills. You'll tackle customer challenges, implement ML solutions, and guide projects from discovery to deployment. The ideal candidate will have over 4 years of industry experience, particularly with frameworks like PyTorch and TensorFlow. This role encourages adaptability, communication, and ownership while offering flexible work and generous benefits.