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Vp Of Engineering Machine Learning Jobs (NOW HIRING)

Nace.AI

$132K - $171K/yr

VP of Engineering Palo Alto, CA · Full-time · On-site About Nace AI Nace AI builds trustworthy, specialized enterprise intelligence. Our AI agents automate financial audit, accounting, and ...

Nace AI

VP of Engineering

Palo Alto, CA · On-site

$211K - $272K/yr

VP of Engineering Palo Alto, CA • Full-time • On-site About Nace AI Nace AI builds trustworthy, specialized enterprise intelligence. Our AI agents automate financial audit, accounting, and ...

Channelscaler Group

SVP of Engineering

Boston, MA · On-site

$195K - $252K/yr

About the Role As the Senior Vice President of Engineering, reporting directly to the CEO, you'll ... machine learning, including SaaS capacity planning, infrastructure cost management, and margin ...

Channelscaler

SVP of Engineering

Boston, MA · On-site

$195K - $252K/yr

About the Role As the Senior Vice President of Engineering, reporting directly to the CEO, you'll ... machine learning, including SaaS capacity planning, infrastructure cost management, and margin ...

Channelscaler Group

$132K - $171K/yr

About the Role As the Senior Vice President of Engineering, reporting directly to the CEO, you'll ... machine learning, including SaaS capacity planning, infrastructure cost management, and margin ...

Satsuma

VP of Engineering

Austin, TX · On-site

$178K - $230K/yr

As VP of Engineering, you'll be responsible for owning the engineering roadmap, delivering on product milestones, and ensuring the performance, reliability, and scalability of our core platform. You ...

Satsuma

VP of Engineering

Austin, TX · On-site

$178K - $230K/yr

As VP of Engineering, you'll be responsible for owning the engineering roadmap, delivering on product milestones, and ensuring the performance, reliability, and scalability of our core platform. You ...

Satsuma

VP of Engineering

Austin, TX · On-site

$178K - $230K/yr

As VP of Engineering, you'll be responsible for owning the engineering roadmap, delivering on product milestones, and ensuring the performance, reliability, and scalability of our core platform. You ...

Moon

Vice President of Engineering

Glendale, CA · On-site

$285K - $430K/yr

Role Overview As Vice President of Engineering, you will be the technical heartbeat of Moon, working side-by-side with our President to deliver breakthrough products at unprecedented speed and ...

Feathr

VP of Engineering

Gainesville, FL · Remote

$200K - $250K/yr

As our VP of Engineering, you will have a seat on the Executive team, partnering closely with the VP of Product, CEO, and additional Executive Team members to shape our long-term technology vision ...

Feathr

$200K - $250K/yr

As our VP of Engineering, you will have a seat on the Executive team, partnering closely with the VP of Product, CEO, and additional Executive Team members to shape our long-term technology vision ...

Judge Group, Inc.

VP of Engineering

Austin, TX · On-site

$170K - $205K/yr

Vice President of Engineering Location: Cedar Park, Texas Work Arrangement: 100% Onsite Position Overview Vice President of Engineering to lead engineering organization and directly manage project ...

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Vp Of Engineering Machine Learning information

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$112.5K

$215.6K

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

As of Sep 10, 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.

VP of Engineering

On-site

Nace.AI
See more jobs at Nace.AIexternal

$132K - $171K/yr

Other

Posted 11 days ago

Key responsibilities

  • Lead, grow, and retain a high-caliber engineering organization spanning ML, platform, and product engineering

  • Own engineering delivery by setting roadmaps, driving execution, and ensuring quality and speed

  • Establish and manage engineering processes that scale, including planning cycles, code review standards, incident response, and on-call practices

Job description

VP of Engineering

Palo Alto, CA · Full-time · On-site

About Nace AI

Nace AI builds trustworthy, specialized enterprise intelligence. Our AI agents automate financial audit, accounting, and compliance workflows for enterprises where accuracy, auditability, and trust are non-negotiable. We are headquartered in Palo Alto and backed by General Catalyst, Walden Catalyst, and Intel.

About the Role

We are hiring a VP of Engineering to lead and scale our engineering organization. This is one of the most senior roles at Nace AI. You will partner directly with our CEO and CTO to translate our research and product vision into reliable, enterprise-grade systems - and build the team, processes, and culture that make world-class execution repeatable.

In this role, you will own engineering delivery end to end: planning, execution, quality, and velocity across a distributed team of researchers and engineers. You will be equally comfortable setting technical direction in an architecture review and unblocking a critical customer deployment.

What You Will Do

  • Lead, grow, and retain a high-caliber engineering organization spanning ML, platform, and product engineering

  • Own delivery: set roadmaps with product and research leadership, drive execution, and hold a high bar for quality and speed

  • Partner with the CTO on system architecture, technical strategy, and build-vs-buy decisions

  • Establish engineering processes that scale - planning cycles, code review standards, incident response, and on-call practices

  • Ensure our systems meet the reliability, security, and compliance expectations of enterprise financial customers (SOC 2, data governance, auditability)

  • Recruit senior engineering talent and design the org structure for our next stage of growth

  • Represent engineering with customers, partners, and investors as needed

  • Manage effectively across a globally distributed team and time zones

What We Are Looking For

  • 10+ years of software engineering experience, including 5+ years leading engineering teams at high-growth startups or enterprise software companies

  • Proven track record scaling an engineering org from ~10 to 50+ engineers while maintaining velocity and quality

  • Deep technical fluency in modern ML/AI systems, distributed infrastructure, and enterprise SaaS - you can go toe-to-toe with senior ICs on architecture

  • Experience shipping and operating products for enterprise customers with strict security and compliance requirements; fintech, audit, or regulated-industry background is a strong plus

  • Professional proficiency in both English and Russian, enabling effective collaboration across our distributed, multilingual engineering team

  • Strong operational instincts: you build lightweight processes that create leverage, not bureaucracy

  • Exceptional judgment on hiring - you have built teams people want to join and stay on

  • Based in or willing to relocate to the Bay Area; this role is on-site in Palo Alto

Preferred Qualifications

  • Experience with LLM-based products, agentic systems, or applied research environments

  • Prior experience as a founder, founding engineer, or first VP of Engineering

  • Familiarity with financial audit, accounting, or compliance domains

Why Nace AI

You will join at a pivotal stage: strong backing, real enterprise customers, and a research team pushing the frontier of specialized enterprise intelligence. As our most senior engineering leader, you will shape not just what we build, but how we build - and who we build it with.

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