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AI/ML Engineer

NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT
$160,000 - $250,000
Machine Learning
Mid-Level Software Engineer
In-Person
11 - 50 Employees
AI

Job Description

Profound, a Series B AI startup backed by Sequoia Capital, is revolutionizing how brands measure and improve their AI platform visibility. As an AI/ML Engineer, you'll be at the forefront of developing large-scale NLP and LLM systems that power various ML functionalities. The role combines hands-on technical work with cross-functional collaboration, offering the opportunity to impact how major brands like MongoDB, DocuSign, and Zapier navigate the AI landscape.

The position demands expertise in building and deploying production-grade ML systems, with a focus on NLP and LLM workflows. You'll be responsible for everything from data pipeline maintenance to model deployment, working on classification, ranking, clustering, and content generation systems. The role requires strong technical skills in Python and SQL, combined with the ability to design sophisticated evaluation frameworks and monitoring systems.

Located in NYC's Union Square office, this role offers the perfect environment for builders who thrive in fast-paced settings. You'll get to work with cutting-edge AI technology while collaborating with various teams to drive product insights and customer-facing KPIs. The compensation package includes a competitive salary range of $160K-$250K plus meaningful equity, reflecting the high-impact nature of the position.

This is an ideal opportunity for someone who wants to be at the intersection of AI innovation and business impact, working with a team that's backed by top-tier investors and serving industry-leading clients. The role offers significant autonomy and the chance to shape how companies understand and control their AI presence in an rapidly evolving technological landscape.

Last updated 6 hours ago

Responsibilities For AI/ML Engineer

  • Build and deploy NLP models at scale for classification, ranking, clustering, topic extraction, and summarization
  • Design LLM workflows for context and content generation end-to-end
  • Develop prompt and template libraries aligned to brand voice and channel
  • Create eval frameworks for generated content
  • Instrument content performance and run experiments
  • Transform large text datasets into production features
  • Partner with engineering to maintain data pipelines
  • Collaborate with product, data, and go-to-market teams

Requirements For AI/ML Engineer

Python
  • Proven experience shipping ML systems in production at scale
  • Hands-on experience building LLM content systems
  • Fluency in SQL and strong Python skills with modern ML tooling
  • Strong grasp of ML and generation quality metrics
  • Ability to innovate when off-the-shelf doesn't fit the problem
  • Experience working in cross-functional, high-performance teams
  • Clear communication with technical and non-technical partners
  • Ownership mindset and comfort operating in a fast-paced environment

Benefits For AI/ML Engineer

Equity
  • Competitive compensation
  • Meaningful equity
  • Fast paced environment with trust and autonomy
  • Close collaboration with product, engineering, and go to market teams

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