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Machine Learning Engineer, Applied AI

braincoNew York City, NYEngineering
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Salary
Not listed
Job type
Full-time
Experience
Mid
Posted
30 Sept 2026
Status
Open · checked 7d ago

About this role

This role suits engineers with a deep understanding of machine learning foundations and a drive to build production-grade AI systems for regulated institutions in New York City. Machine Learning Engineer, Applied AI is an engineering position at brainco focused on deploying robust decision systems into production environments where accuracy and institutional trust are paramount.

Role Overview

Brainco is hiring a Machine Learning Engineer, Applied AI to work in New York City, NY. The position involves building agent-native operating systems that automate complex workflows in heavily regulated sectors such as government, insurance, health, and financial services. The work centers on turning ambiguous operational challenges into reliable production machine learning systems that meet institutional standards.

Key Responsibilities

Translate vague problem statements, unlabelled data, and undefined success metrics into well-defined machine learning problems and deployed production systems.
Take complete end-to-end ownership of AI systems, retaining responsibility for model behavior in production without handoffs.
Apply large language models, reinforcement learning fine-tuning, and agentic systems to generate operational decisions for institutions.
Collaborate directly with institutional stakeholders, including underwriters, compliance officers, and permit reviewers, to understand decision-making processes.
Engineer solutions for real-world production environments, managing trade-offs among reliability, cost, latency, and accuracy.
Contribute to company-wide standards through design reviews, participation in the internal paper club, and development of trusted AI playbooks.

Requirements

Strong understanding of underlying machine learning principles, including generalization, loss functions, and evaluation methodologies.
Practical expertise with modern AI techniques such as prompting, fine-tuning, tool use, and reasoning within agentic systems.
Ability to design and compose multiple model types, including fine-tuned segmentation models, vision-language models, and rule engines.
Comfort operating in ambiguous environments with undefined data, problems, and success criteria.

Skills and Tools

Large Language Models (LLMs)
Vision-Language Models (VLMs)
Vision Transformers
Segmentation Models
Rule Engines
Reinforcement Learning Fine-Tuning
Agentic Systems

About the Company

Brainco builds AI-native operating systems tailored for large, regulated institutions across government, insurance, health, and financial services. Powered by proprietary agent platforms, the company aims to modernize institutional workflows and enable automation in areas like construction permitting. The organization features an elite team with backgrounds from Google, Nvidia, Meta, and Palantir, focusing on production-grade deployments that deliver measurable customer value.

How to Apply

Apply on the official company careers page.

Skills and tech stack

LLMsVLMsVision TransformersSegmentation ModelsRule EnginesRL Fine-TuningAgentic SystemsTransformersMachine LearningFine-tuning

Questions candidates ask

Where is the Machine Learning Engineer, Applied AI role located?

The position is located in New York City, NY.

What industries does brainco build operating systems for?

Brainco builds operating systems for large, regulated institutions across government, insurance, health, and financial services.

What is the scope of ownership for this position?

Engineers have end-to-end ownership, meaning the person who trains the model is also responsible for its behavior in production without handoffs.

What types of AI models and architectures are used in the role?

The work involves composite AI systems that chain vision transformers, segmentation models, vision-language models, rule engines, LLMs, and reinforcement learning fine-tuning.

How should interested candidates apply?

Candidates should apply on the official company careers page.

Ready to apply?

The application is on the official brainco careers page.

Apply on company site