Goliath Partners ยท 11 hours ago
Machine Learning Engineer
NYC Metro Area
Full-time
Onsite
Mid Level
$500K/yr - $1,000K/yrGoliath Partners is a well-funded AI startup backed by top-tier investors and led by ex-DeepMind, Anthropic, and OpenAI engineers. They are seeking a Machine Learning Engineer to help shape and scale next-generation intelligent software agents that can reason, plan, and act autonomously across various environments.
Staffing & Recruiting
Hiring Manager
Liz Lahue
Responsibilities
Designing and implementing the foundation for a next-generation desktop and browser-based agent capable of autonomously navigating web environments, local filesystems, and complex user workflows
Integrating vision and language models for multimodal reasoning
Operating safely within secure, virtualized runtimes
Working across agentic architecture: systems that interact with browsers, OS APIs, and enterprise data
Creating search and retrieval pipelines spanning large-scale structured & unstructured data
Combining LLMs, vision models, and reinforcement learning for multi-step reasoning
Building secure containerized execution and scalable serving frameworks
Qualification
Required
Strong Python skills and comfort building/debugging complex ML applications
Experience with desktop OS APIs (Windows/macOS) for screen reading, file access, and accessibility frameworks
Background in browser automation or extensions (Playwright, Puppeteer, DOM manipulation)
Understanding of LLM prompting, orchestration, and reasoning frameworks
Experience building secure, sandboxed, or containerized runtimes
Ability to work across research and production teams in a fast-moving, ambiguous environment
Preferred
Retrieval-augmented generation (RAG) systems
Vector databases and large-scale indexing
Enterprise security/compliance familiarity (SOC 2, etc.)
OCR, UI understanding, or screen-reading models
Human-Computer Interaction (HCI) or agentic workflow design
Benefits
Equity
Company
Goliath Partners
Driving innovative talent solutions within trading & financial technology that delivers specialized C++ professionals.
Founded in 2023
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase