Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home role.

Rezi rewrites your resume against Ginas Tech Jobs's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home posting at Ginas Tech Jobs — free, in seconds.

About the Role

As the Staff Machine Learning Engineer, you own the execution layer of intelligence. You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints.

Responsibilities

Own end-to-end Machine Learning (ML) system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
Architect and operate scalable inference systems, balancing latency, cost, and reliability.
Design and maintain data systems for high-quality synthetic and real-world training data.
Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
Collaborate closely with application engineering to integrate Machine Learning (ML) systems cleanly into backend, mobile, and desktop products.
Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
Work under real production constraints: latency, cost, reliability, and safety.

Requirements

Experience building or shipping real Machine Learning (ML) systems used by people, not just demos.
Artificial Intelligence (AI) experience required.
Experience working with large models and understanding their failure modes.
Experience writing strong, production-grade code.
Self-directed, pragmatic, and take full ownership of outcomes.
Experience communicating clearly and collaborate well in small, high-trust teams.

Skills

LoRA
QLoRA
SFT
DPO
distillation
GPU-based training and inference system
JAX
Python
PyTorch

Location

San Francisco, CA
Remote

Work Type

Work From Home
Remote

Experience Level

Staff

Salary/Compensations

USD 150000 - USD 170000

Benefits

medical insurance
Dental
Vision
Savings Plan Options
PTO