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AI/ML Placements
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Retention Rate
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Avg. Time to First Slate
What We Look For
The traits that define top candidates in this role
- Experience with model development, training, and deployment at scale
- Strong Python fundamentals and ML framework depth: PyTorch, TensorFlow, JAX
- MLOps experience — model versioning, monitoring, and retraining pipelines
- Applied AI experience shipping real products, not just research papers
Why This Role Is Hard to Fill
AI/ML engineers are among the most competitive hires in tech right now. The talent pool is small, compensation expectations are high, and most strong candidates are not actively looking. We have relationships that get us in front of them anyway.
Our Approach
We differentiate between researchers and builders — and match you with the right type. If you need someone to ship product, we won't send you a PhD who's only worked in notebooks.
FAQ
Common Questions About Hiring a ML/AI Engineer
How much does a ML/AI Engineer make?+
ML/AI Engineers typically earn between $155,000–$230,000 annually for direct hire positions in today's market, though compensation varies based on location, years of experience, tech stack, and company stage. Candidates in major tech hubs like San Francisco, New York, or Seattle may command salaries at the higher end of that range.
How long does it take to hire a ML/AI Engineer?+
With CRB Workforce, most clients receive their first qualified slate of ML/AI Engineer candidates within 5–10 business days. The full time-to-offer typically runs 3–6 weeks depending on your interview process and how quickly stakeholders are available. We actively manage scheduling and follow-up to keep momentum.
When should I hire a ML/AI Engineer full-time vs. on contract?+
Direct hire makes sense when you need a ML/AI Engineer long-term, want them invested in your culture and roadmap, and can offer competitive equity or benefits. Contract works better when you need immediate capacity for a defined project, want to evaluate someone before committing, or need to keep headcount flexible. CRB can help with both — and contract-to-hire is always an option if you want a built-in trial period.
What's the biggest mistake companies make when hiring a ML/AI Engineer?+
The most common mistake is prioritizing résumé keywords over real-world impact. A ML/AI Engineer who can articulate what they built, why they built it, and what broke along the way will outperform a keyword-matched résumé every time. We screen for demonstrated results and communication quality — not just credentials — so you only meet candidates who can actually do the job.
Who should I contact at CRB Workforce to start a ML/AI Engineer search?+
You can reach our team through the contact form on our site. Tell us a bit about the role, your timeline, and what "great" looks like for you — and we'll set up a brief discovery call to get aligned before sourcing begins. Most searches are active within 24–48 hours of that call.
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Ready to Hire a ML/AI Engineer?
We typically deliver a shortlist of qualified candidates within 5–10 business days.