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Vp Of Engineering Machine Learning Jobs (NOW HIRING)

Vice President of Engineering

Washington, DC · On-site

$203K - $262K/yr

Lead and grow a distributed engineering org across the US and India as one of three VP Engineering ... Set the hiring bar, build the interview machine and recruit senior talent in a competitive AI‑era ...

VP of Engineering

California, MO · On-site

$161K - $207K/yr

We are seeking a deeply technical VP of Engineering who can navigate the challenges of rapid growth while embodying a culture of excellence. In this role, you will not only go deep technically when ...

VP of Engineering

Chicago, IL · On-site

$200K/yr

... learning outcomes with video. We have established ourselves as a leader in the K-12 education ... Castify is used by over 15M people today and is seeking a VP of Engineering to join our Squad!

VP of Engineering

Chicago, IL · On-site

$200K/yr

... learning outcomes with video. We have established ourselves as a leader in the K-12 education ... Castify is used by over 15M people today and is seeking a VP of Engineering to join our Squad!

Position Summary The Vice President of Engineering is a senior leadership role responsible for leading Forge Nano's product engineering organization, including 200 mm platform hardening, 300 mm ...

Position Summary The Vice President of Engineering is a senior leadership role responsible for leading Forge Nano's product engineering organization, including 200 mm platform hardening, 300 mm ...

Vice President of Engineering

Thornton, CO · On-site

$185K - $238K/yr

Position Summary The Vice President of Engineering is a senior leadership role responsible for leading Forge Nano's product engineering organization, including 200 mm platform hardening, 300 mm ...

Position Summary The Vice President of Engineering is a senior leadership role responsible for leading Forge Nano's product engineering organization, including 200 mm platform hardening, 300 mm ...

$132K - $171K/yr

As the Vice President of Defense and Intelligence (D&I) Solutions Engineering , you will lead ... D. in Computer Science, Software Engineering, Machine Learning, or a relevant technical discipline.

VP of Engineering

Austin, TX · Remote

$200K - $230K/yr

Job Overview: We're hiring a hands-on VP of Engineering (CTO-equivalent) to lead architecture and execution for an industrial AI platform that connects edge sensors and factory systems to cloud ...

VP of Engineering

Manhattan, NY · On-site

$200K - $300K/yr

About the Role VICO is looking for a VP of Engineering to lead and grow our engineering team. You'll report directly to the CTO and play a lead role in daily engineering execution, team development ...

VP of Engineering

Scottsdale, AZ · On-site

$182K - $234K/yr

The VP of Engineering partners with product and business leadership to translate business goals into robust, maintainable, and high-quality software solutions. This is a senior engineering leadership ...

VP of Engineering / SaaS

Waltham, MA · On-site

$200K - $250K/yr

Vice President of Engineering This full-time leadership opportunity is with a rapidly growing SaaS organization serving the construction, facilities, and asset management space. The company is ...

Showing results 41-60

Vp Of Engineering Machine Learning information

See salary details

$112.5K

$215.6K

$398.5K

How much do vp of engineering machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for vp of engineering machine learning in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Vp Of Engineering Machine Learning jobs?

For Vp Of Engineering Machine Learning jobs, the most frequently searched job titles are:

Infographic showing various Vp Of Engineering Machine Learning job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.

Vice President of Engineering

Washington, DC • On-site

$203K - $262K/yr

Other

Re-posted 27 days ago


Job description

Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.

Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state‑of‑the‑art open- and closed‑source AI models with our human‑in‑the‑loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.

Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.

We're at an inflection point. Large language models, agentic AI and our proprietary human‑in‑the‑loop verification engine are converging. The VP, Engineering will own how that transformation happens — in our product, our platform and how our teams build.

This is a player‑coach role: a hands‑on technical leader who progressed through the IC route — Architect or Principal Engineer — gets into the weeds when it matters, and leads at the executive level. You build the team and stay in the game.

WHAT YOU'LL OWN Engineering delivery and velocity
  • Own end-to-end engineering execution: roadmap planning, sprint cadence, release quality and cross-team dependency management
  • Partner with the Product teams to align engineering capacity with product priorities; surface honest tradeoffs early
  • Drive a culture of high velocity and high trust — ship fast, learn fast, fix fast
AI-native platform and product
  • Lead the engineering strategy for integrating LLMs, agentic workflows and AI-native development practices into Ocrolus products at scale
  • Drive adoption of modern developer productivity tools and AI-augmented engineering workflows across all teams
  • Define standards for AI output quality, hallucination control, cost governance and production reliability
  • Compress idea-to-ship cycles for GenAI features; set the bar for moving from prototype to production
  • Partner with the ML and AI Transformation teams to embed AI into internal workflows, not just external products
Architecture, scalability and reliability
  • Remain deeply hands‑on: lead architecture reviews, own critical system design decisions and drive technical decision‑making — not from a distance
  • Own the technical roadmap across distributed systems, platform architecture, scalability and reliability for your engineering domain
  • Set and enforce engineering standards: code quality, observability, incident response and security
  • Make high‑stakes architectural calls that balance speed, cost and long‑term maintainability
Engineering organization
  • Lead and grow a distributed engineering org across the US and India as one of three VP Engineering leaders; partner closely with peer VPs under the CTO
  • Manage directors and senior managers; coach them into leaders who scale with the company
  • Set the hiring bar, build the interview machine and recruit senior talent in a competitive AI‑era market
  • Own DEI and retention outcomes within your domain
Executive and cross-functional leadership
  • Represent engineering at the executive level; contribute to the narrative on technology execution, risks and investments
  • Own your domain's engineering budget: headcount planning, tooling spend and cloud cost optimization
  • Partner with Sales and Customer Success on enterprise commitments, SLA design and escalation resolution
WHAT WE'RE LOOKING FOR Non‑negotiables
  • 14+ years in software engineering with at least 5 years in engineering leadership; has scaled through Series C or equivalent growth
  • Strong IC background — progressed through the Architect or Principal Engineer route with deep ownership of architecture, system design and technical decision‑making
  • Hands‑on experience shipping AI/ML systems to production: LLMs, RAG, agentic workflows or document intelligence — not just oversight
  • Proven ability to build and scale large‑scale distributed platforms with high availability and reliability requirements
  • Has partnered with a CTO or CEO on technical strategy; comfortable in the executive seat
  • Deep expertise in distributed systems, cloud‑native microservices architecture at scale (AWS preferred)
Strong signal
  • Background in fintech, document AI, IDP (Intelligent Document Processing) or regulated data‑intensive industries
  • Experience running engineering in a human‑in‑the‑loop or hybrid AI/human system
  • Built or rebuilt engineering culture — hiring bar, onboarding, performance, career ladders — from a growth‑stage baseline
  • Familiarity with modern developer productivity tooling and AI‑augmented SDLC practices
  • Comfortable operating across US and India time zones with globally distributed teams
WHY OCROLUS NOW
  • AI‑native at the core: integrating state‑of‑the‑art open- and closed-source models into a platform processing $100B+ in lending decisions annually
  • Category leader: 400+ enterprise customers including PayPal, Brex, SoFi, Plaid, Better Mortgage, Enova and Square
  • Real moat: proprietary HITL verification engine, 10+ years of labeled financial document data, 99%+ accuracy at scale
  • Remote‑first culture built on Empathy, Curiosity, Humility and Ownership
Life at Ocrolus

We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote‑first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.

Our culture is grounded in four core values:
  • Empathy – Understand and serve with compassion
  • Curiosity – Explore new ideas and question the status quo
  • Humility – Listen, be grounded, and remain open‑minded
  • Ownership – Love what you do, work hard, and deliver excellence

We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.

We look forward to building the future of lending together.

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