PhD Machine Learning/AI Engineer : start-up Hedge Fund

Hunter Bond; United States; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive base salary

Meaningful performance upside

Equity potential

Job summary

A leading hedge fund is seeking an experienced Machine Learning & AI Engineer to shape the future of quantitative trading. This role offers the chance to work with cutting-edge research and a world-class investment team. The ideal candidate will have a PhD, strong coding skills, and experience in ML system development. The position includes a competitive base salary of $150-200k plus bonuses, offering the potential for total compensation around $500k.

Qualifications

• Deep expertise in machine learning model development.
• Strong coding skills for building production-grade ML systems.
• Experience with distributed computing and big data pipelines.

Responsibilities

• Shape strategy and infrastructure as an early technical leader.
• Collaborate with a world-class investment team.
• Innovate in a high-growth, startup-style environment.

Skills

Machine learning model development

Deep learning frameworks (TensorFlow, PyTorch, JAX)

Advanced NLP

Bayesian statistics

Strong coding and software engineering skills (Python, C++, CUDA)

Experience with distributed computing

Education

PhD in Computer Science, Machine Learning, AI, Mathematics, Statistics

Educated at a top-tier university

Job description

Overview

Direct message the job poster from Hunter Bond

We’re partnering with a high-growth, stealth-mode hedge fund backed by leading investors, to find a world-class Machine Learning & AI Engineer. This is a rare chance to bring cutting-edge research to one of the most dynamic industries, shaping the future of quantitative trading from the ground up.

What We’re Looking For

• PhD in Computer Science, Machine Learning, AI, Mathematics, Statistics, or related field
• Educated at a top-tier university (Oxford, Cambridge, MIT, Stanford, ETH, etc.)

Deep expertise in:

• Machine learning model development (supervised, unsupervised, reinforcement learning)
• Deep learning frameworks (TensorFlow, PyTorch, JAX)
• Advanced NLP, generative models, and time-series forecasting
• Bayesian statistics, probabilistic programming, and causal inference
• Optimization techniques and scalable algorithms
• Strong coding and software engineering skills (Python, C++, CUDA) for building production-grade ML systems
• Experience with distributed computing, cloud platforms, and big data pipelines
• Ability to work in fast-paced, research-driven environments with high autonomy
• Intellectual curiosity, entrepreneurial mindset, and a drive to build cutting-edge AI solutions for finance

Why This Role?

• Join as an early technical leader with a seat at the table shaping strategy and infrastructure
• Work with a world-class investment team leveraging state-of-the-art ML and AI to identify market opportunities
• Access to vast datasets and compute resources to push the limits of ML research
• Competitive base salary with meaningful performance upside and equity potential
• Opportunity to innovate in a high-growth, startup-style environment

Base salary $150-200k plus huge bonus and equity on offer - circa $500k total comp. Apply now!