Machine Learning Lead Engineer, Machine Learning

Job not on LinkedIn

🔥 38 minutes ago

🇲🇱 Mali – Remote

💵 $160k - $190k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Next Step Systems - National IT Recruiting Firm

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤝 B2B

👥 HR Tech

B2B • HR Tech

Next Step Systems is a national IT recruiting firm that specializes in placing a wide range of information technology professionals in permanent full-time positions across the U. S. Their expertise includes various disciplines such as programmers, software engineers, network engineers, cloud engineers, and SAP specialists. Established in 1995, the company is committed to quality and customer service, continually expanding its capabilities through strategic acquisitions, like the recent one of Parallel Partners, to enhance their service offerings to clients and job seekers.

📋 Description

• Own the end-to-end Machine Learning (ML) systems powering the company, from data and training to evaluation, inference, and deployment • Build and evolve training and fine-tuning pipelines for large models • Design evaluation systems measuring 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 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 • Detect, debug, and resolve production issues quickly while minimizing user impact • Support and align team members to deliver high-impact ML work

🎯 Requirements

• 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 • Python, PyTorch/JAX, and GPU-based training and inference system • Must be willing to take a 60 minute coding assessment

🏖️ Benefits

• medical insurance • Dental • Vision • Savings Plan Options • PTO