Machine Learning
ML engineers, applied scientists, and research-to-production leads across recommendation, ranking, vision, and NLP systems.
Industries · Artificial Intelligence
Recruiting builders of the AI future.
Recruiting engineers and technical leaders building the future of artificial intelligence — from foundation models and AI infrastructure to production-ready machine learning systems.
10+
AI full-time roles
24/7
Follow-the-sun delivery
US
Timezone overlap
AI
Production-grade first
Capabilities
From research to production.
Generative AI & LLMs
Foundation model training, fine-tuning, RAG, agents, and applied LLM systems for enterprise and consumer products.
AI Infrastructure & MLOps
Training infrastructure, inference platforms, distributed compute, observability, and model lifecycle operations.
Applied AI Engineering
Productionizing models into reliable services — APIs, SDKs, evaluation harnesses, and developer tooling.
Data & Platform Engineering
Feature stores, vector databases, data pipelines, and the platform layer underneath modern AI products.
AI Research & Technical Leadership
Research scientists, staff engineers, and AI tech leads anchoring long-horizon model and platform bets.
Specialties we place
Permanent AI hires across the stack.
The specialties we source and vet — from ML platform to applied research.
Machine Learning Engineer
Applied Scientist
Research Engineer — LLMs
Generative AI Engineer
LLM Platform Engineer
MLOps Engineer
AI Infrastructure Engineer
Distributed Training Engineer
Inference Platform Engineer
AI Tech Lead
Build the engineering team behind your AI roadmap.
Start with a pilot engagement and scale into a permanent bench across machine learning, generative AI & LLMs, and AI infrastructure & MLOps.
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Email a hiring brief How a Mindpool USA search runs
Every engagement starts with a briefing call in which we pull apart the role rather than the job title: the problems the hire owns in their first two quarters, the systems and tooling they inherit, who they work alongside, and which parts of the specification are genuinely non-negotiable. That brief becomes the scorecard we screen against for this search, so shortlists are argued for on evidence instead of keyword overlap.
Sourcing is deliberately two-track. We approach specialists already known to our sector recruiters, and we run targeted, specialised outreach into the specific teams, programmes, and technologies where the relevant experience actually sits — including people who are not searching. Candidates are then interviewed by a recruiter who understands the domain, reference-checked on the claims that matter, and presented with a written rationale, compensation expectations, notice period, and location constraints already confirmed.
Permanent hiring only — what that means
Mindpool USA is a permanent recruitment and executive search firm. Every placement is a full-time, direct-hire employee on your payroll, on your benefits, and inside your engineering culture. We do not provide contract, temporary, temp-to-hire, or contingent staffing, and we do not act as an employer of record. That single focus is why our process optimises for retention rather than time-to-fill alone.
- • Contingent permanent search, retained executive search, embedded RPO, or research-led talent mapping
- • Sector-specialist recruiters in AI and machine learning, energy, and semiconductors
- • Roughly 21 days from brief to a signed offer on a typical search
- • 90-day retention guarantee on every permanent placement
- • U.S. nationwide coverage, with a secondary UK practice
Hiring managers can book a call or email a hiring brief and receive a calibrated shortlist with market context on availability and compensation before committing to a full search.