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

Next Step Systems; San Francisco (CA); Remote; USD 160,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

Savings plan

Paid time off

Job summary

Next Step Systems is seeking a Machine Learning Lead Engineer who owns the execution layer of our intelligence, turning research into reliable production ML systems. This 100% remote, work-from-home role covers data, training, evaluation, inference, and deployment and is hands-on with leadership responsibility.

Qualifications include ML production experience, strong software engineering fundamentals, and GPU-based workloads.

Qualifications

• ML experience is required.
• Experience shipping ML systems in production.
• Strong understanding of large-model training, fine-tuning, evaluation, and inference.
• Strong software engineering and systems fundamentals.
• Experience operating ML workloads at scale on GPUs.
• Independent problem solving with good technical judgment.
• High standards for correctness and reliability.

Responsibilities

• Own end-to-end ML systems from data to deployment.
• Build and evolve pipelines for training and fine-tuning large models.
• Design evaluation systems for capability, robustness, safety and performance.
• Architect high-performance inference systems optimizing latency and memory.
• Build data pipelines for real-world and synthetic training data.
• Establish production infrastructure for deploying, monitoring and improving models.
• Collaborate with research and application engineering to ship improvements.
• Make pragmatic trade-offs and iterate based on real-world results.

Skills

ML deployment

System design

Software engineering

Experimentation mindset

Independent problem solving

Tools

Python

PyTorch/JAX

GPU-based training

Job description

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

• Full-time
• Compensation: USD 160,000 - USD 190,000 - yearly

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

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.

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