Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

Harper Adams University; United States; Remote; USD 190,000 - 225,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

Savings plan

PTO

Job summary

Harper Adams University is seeking a Machine Learning Technical Lead for a fully remote role. You will own the execution layer of intelligence, translating research into production-grade ML systems that are trainable, scalable, observable, and performant under real-world constraints.

You will lead end-to-end ML pipelines, fine-tune models with LoRA/QLoRA and related methods, design scalable inference systems, and collaborate with engineering to integrate ML into backend, mobile, and desktop

Qualifications

• Experience building or shipping real ML systems used by people.
• AI experience required.
• Experience with large models and failure modes.
• Production-grade code writing experience.
• Self-directed and ownership mindset.
• Clear communication in small teams.

Responsibilities

• Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
• Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation.
• Architect and operate scalable inference systems balancing latency, cost, and reliability.
• Design and maintain data systems for training data quality.
• Implement evaluation pipelines covering performance, robustness, safety, and bias.
• Own production deployment including GPU optimization and scaling policies.
• Collaborate with application engineering to integrate ML into backend and apps.
• Ship improvements quickly learning from real usage.
• Work under real production constraints: latency, cost, reliability, safety.

Skills

AI experience

Production-grade code

Self-directed

Clear communication

Tools

JAX

Python

PyTorch

LoRA

QLoRA

SFT

DPO

Distillation

Job description

Job Description

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

As Machine Learning Technical Lead, you own the execution layer of intelligence. You will translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You will be responsible for making models trainable, deployable, observable, and performant under real-world constraints. This position is 100% Remote.

Machine Learning Technical Lead Responsibilities

• – Own end-to-end 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 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

Machine Learning Technical Lead Outcomes

• – Research and models reliably translate into production-ready solutions with clear performance and quality targets.
• – ML pipelines, training loops, and inference systems are stable, efficient, and maintainable.
• – Production issues are detected, debugged, and resolved quickly, minimizing user impact.
• – Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction.
• – Iterations on models and systems are measurable, safe, and improve user experience over time.

Qualifications

• – Experience building or shipping real Machine Learning 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.
• – You are self-directed, pragmatic, and take full ownership of outcomes.
• – You communicate clearly and collaborate well in small, high-trust teams.
• – Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords: San Francisco CA Jobs, Machine Learning Technical Lead, AI, Artificial Intelligence, Distillation, DPO, GPU Optimization, JAX, LoRA, Machine Learning, Python, PyTorch, QLoRA, SFT, Technical Lead, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Compensation: USD 190000 – USD 225000 – yearly