AI/ML Engineer - Dragonfly Portfolio

San Francisco / New York Cityfull-timemid

Machine Learning EngineerData

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Quick Summary

Overview

About Dragonfly Dragonfly is a global investment firm focused on the future of money, markets, and intelligence. With origins in crypto and over $3.5 billion in assets under management,

Technical Tools

Machine Learning EngineerData

About Dragonfly

Dragonfly is a global investment firm focused on the future of money, markets, and intelligence. With origins in crypto and over $3.5 billion in assets under management, we invest in generational companies and protocols across the frontier of finance and technology. We're a team of seasoned VCs, technologists, and markets experts with deep roots in New York, Silicon Valley, and Asia. We've published some of the industry's most widely read research on stablecoins, market structure, decentralized finance, networks, protocol security, and increasingly, the intersection of finance and AI.

This is not a listing for an internal role at Dragonfly. This posting connects you directly with one or more companies in our portfolio that are actively hiring AI/ML Engineers.

What We’re Looking For:

Comfort operating across the full stack, from model integration to product-facing features
Building autonomous AI agents, agentic workflows, or agent-to-agent systems
Familiarity with agentic payments, machine-to-machine transactions, or AI-native economic primitives
Building and deploying AI systems, LLM-powered applications, or ML pipelines in production
Working with foundation models, fine-tuning, RAG pipelines, agents, or inference optimization

About the role(s):

Depending on the team, you could be:

Building and shipping AI-native products and features end-to-end
Designing and optimizing LLM pipelines, RAG systems, and agentic workflows
Integrating AI capabilities into crypto-native infrastructure, protocols, or consumer products
Working on model evaluation, fine-tuning, and inference optimization at scale
Collaborating with small, high-ownership teams shipping quickly in fast-moving environments

Even if you don't match every point above, we encourage you to apply. There may be other opportunities that fit your skill set.

Process:

We’ll confidentially match you with portfolio companies aligned with your background, skill set, and interests
If mutual interest exists between you and a team, we’ll facilitate a warm introduction
If there isn’t a match today, we’ll keep you top of mind for future opportunities

Compensation

Early Career: $110,000–$150,000
Mid: $150,000–$200,000
Senior: $180,000–$250,000
Staff/Leadership: $230,000–$330,000

The compensation range reflects variation by seniority, location, and hiring company. Final compensation is confirmed with the specific hiring company.

Submit your information below, and we’ll reach out if there’s a potential fit.

Location & Eligibility

Where is the job

San Francisco / New York City

Hybrid, some on-site time required

Who can apply

Same as job location

About this job

Pay per year: $110,000–$150,000 a year; 38% below the $210,000 median for Machine Learning Engineer jobs on Jobera (869 salaries).
Posted: 107 days ago
Employer: has 28 open jobs on Jobera in 3 countries.