AI/ML Engineer

Artemis; New York (NY); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive compensation

Equity component

Innovative culture

Job summary

A cybersecurity innovation company in New York is seeking AI/ML Engineers to lead major ML-driven initiatives and build scalable LLM-powered systems. The ideal candidate will have extensive experience training, deploying, and optimizing ML models, with a strong intuition for feature engineering and debugging. This role offers a competitive salary and the opportunity to work in a dynamic, innovative environment that values diverse teams and personal growth.

Qualifications

• Experience training, deploying, and monitoring ML models from scratch.
• Experience optimizing generative AI systems.
• Ability to spot and debug model degradations in production applications.

Responsibilities

• Own and deliver major ML-driven initiatives.
• Build and scale LLM-powered systems.
• Make architectural decisions for model selection and system design.

Skills

Experience training ML models

Optimizing generative AI systems

Ability to debug model degradations

Strong intuition for feature engineering

Job description

Job Overview

Artemis ingests and analyzes exabytes of streaming data from cloud platforms, identity providers, network logs, and more. We’re building a new, large-scale, AI-native data platform from the ground up – and we’re looking for exceptional AI/ML Engineers to help shape and build it. You’ll work alongside engineers who architected some of the world’s biggest distributed systems.

A core part of this effort is using agents as the primary classification and reasoning layer across our platform – enabling us to move beyond static rules and traditional approaches to understand and act on complex security data.

This is a high-impact role with significant ownership. You’ll work across critical parts of the system – from LLM‑powered classification and detection to large‑scale data and analytics infrastructure – depending on your strengths and the problems at hand. You will help define architecture, make key technical decisions, and drive projects from concept through production. This role is for engineers who are comfortable operating in ambiguity, care deeply about quality, and want to build intelligent systems that matter.

Responsibilities

• Own and deliver major ML-driven initiatives – Design, build, and ship end-to-end features and systems that use LLMs to power Artemis’ detection, classification, and analytics.

• Build and scale LLM-powered systems – Work on services and pipelines that apply LLMs to ingest, process, and classify massive volumes of security telemetry with high reliability and performance.

• Contribute across the stack – Depending on the problem, this may include LLM pipelines, backend services, APIs, data infrastructure, or user-facing applications. You’re not boxed into a single layer.

• Make architectural decisions – Evaluate trade-offs across prompting vs fine‑tuning, model selection, retrieval strategies, and system design to ensure scalability, accuracy, and cost‑efficiency.

• Bring strong engineering and ML judgment – Balance speed and quality, know when to iterate and when to invest, and raise the bar for model performance, system design, and operational excellence.

• Collaborate deeply – Work closely with product, design, security, and platform teams to turn complex problems into reliable, LLM-driven solutions.

• Leverage AI-native development practices – We actively use AI tools to increase velocity and quality. You’ll be expected to embrace and evolve how we build and deploy LLM-powered systems in an AI-first environment.

Qualifications

• Experience training, deploying, and monitoring ML models from scratch (without relying on extensive existing infrastructure)

• Experience optimizing generative AI systems, including developing metrics, building validation sets, and working with domain experts

• Able to build statistical models from scratch and justify them mathematically

• Strong intuition for feature engineering tradeoffs spanning code, systems, and model performance

• Ability to spot and debug model degradations in production applications

• Strong intuition for how to represent complex structured data to an LLM

• Bonus:

  • Experience building models for time series data and corporate telemetry data

  • Experience building large scale detection systems that combine heuristics, traditional ML techniques, and generative AI

  • Experience building AI agents for security operations use cases

Why Work at Artemis?

• Make a real world impact. Help empower cybersecurity teams around the world to keep people safe from the most advanced cyber threats.

• Be challenged to be better than ever before. Our team includes some of the smartest and most driven people in the world. We guarantee you will learn more in 1 year here than 10 years in another place.

• Push the boundaries of technology. Work with and build the most advanced AI capabilities in the world of cybersecurity, including cutting-edge analytics and agentic platforms. Your ideas will shape the product and the industry.

• Innovative culture. We obsess about customers, move fast with high quality, and value open communication, mentorship, and learning. You will have autonomy to drive projects and support to grow. If you are passionate about building resilient distributed systems and want to apply your expertise to defend against AI‑powered adversaries, we’d love to hear from you.

  If you are passionate about cybersecurity and want to apply your expertise to build AI-powered defenses against advanced threats, we'd love to hear from you.

Compensation

We offer a competitive compensation of 180,000$- 250,000$ per year, and a top-of-market equity component. A variety of factors are considered when determining the compensation, including a candidate’s professional experience. Final offer amounts may vary from the amounts listed.

Equal Opportunity

At Artemis, we believe the best ideas come from diverse teams. We’re committed to creating an inclusive environment where people of all backgrounds, experiences, and perspectives can do their best work. We welcome everyone, regardless of race, gender, age, religion, identity, or anything else that makes you, you.