Experts in AI Recruitment

Areas We Recruit For

At Mason Alexander, we specialize in connecting high-growth U.S. tech companies with exceptional talent across the full AI lifecycle. From engineering and research to GTM (Go-to-Market) and AI leadership roles, we understand what it takes to build teams that deliver real innovation.

Our approach is tailored to your stage of growth—whether you're scaling a VC-backed startup or expanding an established AI function. We recruit across all levels, from emerging talent to executive leaders, ensuring the right technical and cultural fit every time.

Our core AI recruitment areas include:

AI Research & Engineering:
Fundamental research in artificial intelligence, including algorithm development, model architecture, and advancements in generative AI and neural networks.

Pre-Training:
Experts in large-scale data preparation, model initialisation, and training foundational models using massive datasets and high-performance computing.

Post-Training:
Specialists in fine-tuning, alignment, and optimisation techniques to enhance model performance, safety, and ethical considerations post-initial training.

AI Research & Engineering:
Fundamental research in artificial intelligence, including algorithm development, model architecture, and advancements in generative AI and neural networks.

AI Research & Engineering:
Fundamental research in artificial intelligence, including algorithm development, model architecture, and advancements in generative AI and neural networks.

Multimodal AI:
Experts in developing and deploying models that integrate and process multiple data types, such as text, images, audio, and video, for applications like multimodal search, content generation, and interactive systems.

AI Safety:
Specialists in ensuring AI systems are secure, ethical, and robust, focusing on adversarial defense, bias mitigation, explainability, and compliance with regulatory standards.

Machine Learning Engineering:
Building scalable ML pipelines, MLOps, and integrating ML models into production systems with tools like TensorFlow, PyTorch, and Kubernetes.

Applied AI:
Practical implementation of AI in business applications, such as computer vision, natural language processing, recommendation systems, and industry-specific solutions (e.g., healthcare, finance, or autonomous systems).

Software Engineering:
Fullstack Development: End-to-end web and application development using frameworks like React, Node.js, and Django.

Frontend: User interface and experience design with technologies like JavaScript, HTML5, CSS, and modern libraries (e.g., React, Vue.js, Angular).

Backend: Server-side logic, APIs, and databases using languages like Python, Java, .NET, and tools such as SQL/NoSQL databases.

Mobile Development:
iOS and Android app engineering, cross-platform solutions (e.g., Flutter, React Native), and AI-integrated mobile experiences.

Infrastructure & DevOps:
Cloud architecture (AWS, Azure, GCP), CI/CD pipelines, containerization (Docker, Kubernetes), and scalable systems to support AI workloads.

Data Science & Analytics:
Data engineering, big data processing (e.g., Spark, Hadoop), and analytics to fuel AI insights.

Cybersecurity in AI:
Securing AI models and data pipelines against threats, including adversarial attacks and compliance with standards like GDPR or HIPAA.

GTM Talent:
Sales engineers, account executives, product marketers, and growth specialists with AI domain knowledge to drive adoption and revenue.

How We Source Top AI Talent

1. Deep Local Expertise

At Mason Alexander, we pride ourselves on our unmatched access to the best AI talent in America, built through years of deep immersion in the tech ecosystem.

2. Strategic Search Approach

Our approach is technology-driven and relationship-centric, combining advanced market mapping, data analysis, and proactive headhunting to identify and engage elite professionals who are often not actively seeking new opportunities.

3. Top Talent Networks

We start with our extensive proprietary database of vetted candidates, curated from top AI hubs like Silicon Valley, New York, Boston, and Austin. This includes alumni from leading institutions such as Stanford, MIT, and Carnegie Mellon, as well as seasoned experts from tech giants like Google, Meta, OpenAI, and Amazon.

4. On the Ground at AI Events

Our team attends premier AI conferences (e.g., NeurIPS, ICML, CVPR) and participates in exclusive industry events to build personal connections and spot emerging stars early.

5. Partnership-Driven Sourcing

Through executive search and targeted outreach, we leverage our partnerships with venture capital firms, research labs, and accelerators to access passive talent—those high-caliber individuals driving breakthroughs in AI research, engineering, and application.

Companies We Work With

We partner with some of the most pioneering and high-growth tech companies across the U.S. AI ecosystem — from stealth-mode startups to Series A–D ventures and scaling unicorns backed by top-tier VCs.

Our clients typically range from 5 to 500 employees and are laser-focused on building cutting-edge AI products, accelerating time to market, and securing top-tier talent to fuel growth. Whether you’re disrupting foundational AI models or building applied AI products at scale, we align our recruitment strategies to your growth phase and technical goals — helping you build the world-class teams that move fast and win big.

Explore our AI Talent Solutions