Machine Learning Lead Engineer, Machine Learning (ML) Required, Work From Home

Machine Learning Lead Engineer Machine Learning (ML) Required Work From Home

As Machine Learning Lead Engineer you own the execution layer of our intelligence turning research and model capabilities into reliable scalable production systems.  You will work across the model lifecycle: data training evaluation inference and deployment.  This is a hands-on leadership role for someone who wants to operate at the intersection of research systems and product.  Machine Learning (ML) experience is required.  This position is 100% Remote.

MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

Machine Learning Lead Engineer Responsibilities:

- Own the end-to-end Machine Learning (ML) systems powering our company from data and training to evaluation inference and deployment.

- Build and evolve training and fine-tuning pipelines for large models.

- Design evaluation systems that measure capability robustness safety and real-world product performance.

- Architect high-performance inference systems optimizing latency GPU utilization memory cost and reliability.

- Build data pipelines and systems for high-quality real-world and synthetic training data.

- Establish reliable production infrastructure for deploying monitoring and continuously improving models.

- Partner closely with research and application engineering to turn model capabilities into product improvements.

- Make pragmatic technical trade-offs and rapidly iterate based on real-world performance.

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 :

Tech Stack:  Python PyTorch/JAX and GPU-based training and inference system.

Machine Learning Lead Engineer Qualifications:

- Machine Learning (ML) experience is required.

- Experience building and shipping Machine Learning (ML) systems used in production not just research prototypes.

- Strong understanding of modern large-model training fine-tuning evaluation and inference.

- Strong software engineering and systems fundamentals.

- Experience operating Machine Learning (ML) workloads at meaningful scale particularly GPU-based systems.

- Strong technical judgment and the ability to navigate ambiguous problems independently.

- A bias toward experimentation measurement and shipping.

- High standards for correctness reliability and production quality.

Machine Learning Lead Engineer Ideal Experience:

- You have built or shipped real Machine Learning (ML) systems used by people not just demos.

- You are comfortable working with large models and understanding their failure modes.

- You write strong production-grade code and care about system correctness.

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

Keywords:  San Francisco CA Jobs GPU JAX Machine Learning Lead Engineer ML Machine Learning Python PyTorch Work From Home Remote California Recruiters IT Jobs California Recruiting

Looking to hire a Machine Learning Lead Engineer in San Francisco CA or in other cities  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Machine Learning Lead Engineers for jobs in San Francisco California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information :

Please check out all of our jobs at .

Remote Work :

Yes

Employment Type :

Full-time