Director, Machine Learning

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $200k - $245k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Envoy Global

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1998

👥 HR Tech

📋 Compliance

☁️ SaaS

HR Tech • Compliance • SaaS

Envoy Global is a leading provider of immigration solutions, offering a comprehensive range of services to help organizations manage their global workforce. With over 20 years of immigration experience, Envoy Global combines expertise with a powerful, user-friendly platform to efficiently handle immigration processes. Their services include U. S. and global immigration support, ensuring compliance with government regulations and providing tools for enhanced employee experience. Envoy Global's platform assists companies in managing visas and tracking international workforce mobility, making the immigration process seamless and reducing stress for both employers and employees.

📋 Description

• Build and scale the ML engineering organization through hiring, pod structuring, and establishing a tech-lead layer • Mature the organization from ad-hoc experimentation to production-grade delivery through roadmap governance, automated testing, on-call ownership, and clear escalation/triage paths • Manage, mentor, and grow senior ML engineers and data scientists • Represent the ML organization to executive and cross-functional stakeholders • Own technical strategy for document AI, extraction, and agentic systems applied to immigration case documents • Lead build-vs-buy evaluations for ML capabilities and vendor tools, balancing cost, accuracy, latency, and compliance • Design and own retrieval and context-optimization strategies including RAG, page/section narrowing, and agentic cross-validation • Define and own ML systems architecture, including model serving, evaluation pipelines, and feature/data infrastructure • Deliver measurable business outcomes through cost savings, document/extraction pipeline throughput, and accuracy/quality improvements • Establish LLM evaluation frameworks and quality bars before production release • 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 ML organization health, delivery, and cost/quality metrics to engineering and executive leadership

🎯 Requirements

• 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 demonstrating depth beyond applied delivery, such as issued patents, peer-reviewed publications, 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, including RAG, context optimization, evaluation, NER/document extraction, and traditional ML such as search/ranking and classification • Experience making and defending build-vs-buy decisions for ML capabilities • Experience 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 and ability 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