Member of Technical Staff, Enterprise AI

Job not on LinkedIn

🔥 15 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $300k - $700k / year

⏰ Full Time

🔴 Lead

🖥 Software Engineer

👻 Ghost score 0%

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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24-MAG

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤝 B2B

💼 Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

📋 Description

• Embed within enterprise AI workflows as a technical research collaborator • Work alongside domain experts and enterprise teams to understand real-world system behaviour • Identify, formalise, and prioritise failure modes emerging from deployed AI systems • Translate operational issues into structured research questions and measurable technical problems • Produce analyses of system behaviour, limitations, and opportunities for improvement • Design high-signal datasets targeting model and system weaknesses • Develop evaluation protocols, quality criteria, and structured assessment frameworks • Identify gaps in existing datasets and evaluation coverage • Run rapid experimental cycles to test hypotheses and quantify system improvements • Develop and benchmark agentic workflows for robustness, reliability, and scalability • Evaluate AI systems operating across complex enterprise workflows • Analyse experimental results and determine whether improvements are meaningful and reproducible • Iterate on datasets, evaluations, and system configurations based on research findings • Build lightweight tooling for evaluation, data curation, experimentation, and rapid iteration • Collaborate across research, engineering, product, domain, and enterprise-facing teams • Translate research findings into clear, decision-oriented recommendations • Contribute to reports, benchmarks, evaluation documentation, and technical analyses • Communicate complex findings to technical and non-technical stakeholders

🎯 Requirements

• Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical discipline • Strong judgement regarding research-signal quality, data selection, and evaluation design • Experience designing datasets, evaluation frameworks, or QA processes for machine-learning systems • Ability to translate ambiguous operational issues into structured research and evaluation problems • Familiarity with reinforcement-learning environments, agentic systems, or AI-system evaluation • Strong analytical skills and ability to produce concise, actionable technical insights • Proven ability to execute effectively within rapid iteration cycles and high-ambiguity environments • Strong written and verbal communication skills • Collaborative experience across research, product, engineering, and domain teams • Client-facing experience within technical or research-focused environments is advantageous • Experience building internal research or evaluation tooling is beneficial • Contributions to benchmarks, research publications, or open research initiatives are advantageous • Exposure to enterprise AI deployments or forward-deployed research environments is strongly valued

🏖️ Benefits

• Fully remote work arrangement • Full-time engagement • Compensation of $300,000–$700,000/year • Remote consulting opportunities through 24-MAG LLC