Director, Machine Learning @Envoy Global, Inc.
Artificial Intelligence
Salary usd 200,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2d ago

[Hiring] Director, Machine Learning @Envoy Global, Inc.

2d ago - Envoy Global, Inc. is hiring a remote Director, Machine Learning. πŸ’Έ Salary: usd 200,000 - 245,000 per year πŸ“Location: USA

Role Description

Envoy Global is looking for a Director, Machine Learning to build and lead the AI/ML organization behind our immigration case management platform β€” including document understanding, extraction, and agentic automation across visa petitions, supporting evidence, and case correspondence. You'll grow and manage a team of ML engineers, set technical direction on build-vs-buy for AI/ML capabilities, and be accountable for the cost, quality, and throughput of every model in production.

As our Director, Machine Learning, you will be required to:

  • Team & Organization Leadership
    • Build and scale the ML engineering organization β€” hiring, structuring pods, and establishing a tech-lead layer so the team can own day-to-day technical decisions as it grows.
    • Mature the org from ad-hoc experimentation to production-grade delivery through roadmap governance, automated testing, on-call ownership, and clear escalation/triage paths for model and pipeline issues.
    • Manage, mentor, and grow senior ML engineers and data scientists, and represent the ML org to executive and cross-functional stakeholders.
  • ML Platform Strategy & Build-vs-Buy
    • Own the technical strategy for document AI, extraction, and agentic systems applied to immigration case documents β€” petitions, supporting evidence, correspondence, and case data.
    • Lead structured build-vs-buy evaluations for ML capabilities and vendor tools β€” in-house models and pipelines versus external vendors or managed services β€” balancing cost, accuracy, latency, and compliance.
    • Design and own retrieval and context-optimization strategies (RAG, page/section narrowing, agentic cross-validation) that control LLM inference cost at scale without sacrificing accuracy.
    • Define and own the ML systems architecture β€” model serving, evaluation pipelines, feature/data infrastructure β€” in partnership with platform and product architects.
  • Delivery & Operational Impact
    • Be accountable for measurable business outcomes: cost savings from displacing manual review or external vendors, throughput scaling of document/extraction pipelines, and accuracy/quality gains on case-critical data.
    • Establish LLM evaluation frameworks and quality bars before models ship to production, and drive continuous model and pipeline cost optimization.
    • Partner with Product, Legal Operations, and Case Management leadership to translate immigration workflow requirements into ML-backed product capabilities.
    • Report on ML org health, delivery, and cost/quality metrics to engineering and executive leadership.

Qualifications

  • 8+ years in applied ML/AI, including several years leading or managing an ML/AI engineering team, ideally in document understanding, NLP, or search.
  • Proven credentials that demonstrate depth beyond applied delivery β€” issued patents, peer-reviewed publications or conference talks, or equivalent recognized contributions to the ML/AI field.
  • Track record scaling an ML/AI organization and shipping production LLM, NLP, or document-extraction systems at volume, with clear ownership of cost and quality outcomes.
  • Hands-on depth in LLM and agentic systems (RAG, context optimization, evaluation), NER/document extraction, and traditional ML (search/ranking, classification) β€” comfortable going deep with the team, not just directing from above.
  • Experience making and defending build-vs-buy calls for ML capabilities, and partnering with architects on platform-level ML infrastructure decisions.
  • Experience in healthcare, legal, financial services, or other regulated/compliance-sensitive domains handling sensitive documents is a strong plus.
  • Excellent executive communication skills; able to translate technical trade-offs into business terms for non-technical stakeholders.
  • M.S. or Ph.D. in Computer Science, Machine Learning, or a related field preferred.

Requirements

  • Annual Salary Range: $200,000-$245,000
  • This position is 100% remote, working from home, within the United States.

Company Description

Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Director, Machine Learning @Envoy Global, Inc.
Artificial Intelligence
Salary usd 200,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2d ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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Interview Scheduled βœ“
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Offer Accepted βœ“
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