Senior Director, Engineering – ML

🕒 May 26

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🖥 Software Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 37%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Machinify

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $10M Series A - Machinify on 2018-10

Healthcare • Consulting • Logistics

Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.

📋 Description

• Lead and grow the AI/ML Engineering team, while coordinating execution across contributors including data scientists on collaborative projects. • Design, deliver and operate the core AI/ML platform: agent frameworks, evaluation harnesses, labeling systems, document processing systems, semantic search, knowledge bases, model hosting, and more. • Run AI/ML systems at scale in production with reliability, observability, performance, and incident response. Build a culture of operational excellence. • Create processes to ensure proof-of-concept code from Data Science can be designed as production-grade services. • Partner with the Chief AI Officer and Product Manager to build forward-looking product strategy. Drive structured thinking in ambiguity. • Run tight, streamlined stand-ups across engineering and data science. Do capacity planning for driving predictability and velocity around delivery. • Provide leadership in ensuring the cross-functional team can utilize AI technologies to accelerate team excellence in coding, PR reviews, testing, observability and incident response. Keep up with the latest developments in LLM/agent advances and modern AI/ML infrastructure.

🎯 Requirements

• BS or MS in Computer Science (or equivalent experience). • 5+ years managing teams of ~8+ engineers with hands-on technical leadership. • 8+ years direct hands on technical contributor in backend services experience. • 3+ years specifically building AI/ML production-grade services at scale for multiple use cases. Direct co-working with data science and engineering. • Strong in Java, Scala, Rust, or similar backend languages, plus Python. • Understanding of what it takes to productize ML/AI platforms — workflows, serving, observability, reliability, and scale. • Fluent enough in data science concepts to be a real partner to DS leadership. • Strong communicator, organized, and proactive. • Comfortable with ambiguity and taking the initiative.

🏖️ Benefits

• Work from anywhere in the US! Machinify is digital-first. • Top Medical/Dental/Vision offerings • FSA/HSA • Tuition reimbursement • Competitive salary, 401(k) with company match • Unlimited PTO • Additional health and wellness benefits and perks • Flexible and trusting environment where you’ll feel empowered to do your best work