Candidate Bench

    Pre-Qualified Candidates Ready for Impact

    Browse vetted, confidential candidates across our six practice areas. Each has been personally evaluated by our team.

    AI/ML Engineering

    4 candidates
    RS
    PSG-AI-001

    Principal ML Engineer

    "Architected the recommendation engine serving 40M daily users — improved engagement 34%."

    • 10 years in ML engineering and infrastructure
    • Expert in PyTorch, TensorFlow, and distributed training
    • Built MLOps pipelines processing 2TB+ daily
    • Published at NeurIPS, ICML, and KDD
    • Remote — US timezone
    • Target: $280–340k base + RSUs
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    PSG-AI-001

    Principal ML Engineer

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    DS
    PSG-AI-002

    Director of Data Science

    "Built a 15-person DS team that generated $90M in attributable revenue through predictive models."

    • 12 years spanning research and applied data science
    • PhD in Statistics from a top-10 program
    • Led NLP and computer vision initiatives at scale
    • Strong cross-functional leadership with product and eng
    • Hybrid — Bay Area or NYC
    • Target: $260–310k base + equity
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    PSG-AI-002

    Director of Data Science

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    AE
    PSG-AI-003

    Applied AI Researcher

    "Developed a proprietary LLM fine-tuning pipeline that cut inference costs 60% with no quality loss."

    • 8 years in NLP and generative AI research
    • Co-authored 12 papers with 2,000+ citations
    • Expert in RLHF, prompt engineering, and model evaluation
    • Experience shipping AI products to 1M+ users
    • Remote — flexible
    • Target: $240–290k base + RSUs
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    PSG-AI-003

    Applied AI Researcher

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    ME
    PSG-AI-004

    ML Infrastructure Lead

    "Reduced model training costs 45% by migrating to a custom Kubernetes-based ML platform."

    • 9 years in ML infra and platform engineering
    • Expert in Kubernetes, Ray, and Spark for ML workloads
    • Built feature stores serving 500M+ predictions/day
    • Strong background in SRE and system reliability
    • Remote — US-based
    • Target: $250–300k base + equity
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    PSG-AI-004

    ML Infrastructure Lead

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