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Vp Of Engineering Machine Learning Jobs (NOW HIRING)

... power machine operations. * Our manufacturing infrastructure must scale to support multiples of ... learning posture personally, including welcoming feedback and adjusting course quickly. Key ...

VP OF Engineering

Richardson, TX · On-site

$163K - $210K/yr

VP of Engineering Job Title: VP of Engineering Company: Matilda Cloud Location: Richardson, TX ... Our platform integrates machine learning and real‑time data insights to automate traditionally ...

$200K - $300K/yr

Vice President of Engineering Los Angeles / Long Beach, California Compensation * $200,000 - $300,000 annually, plus annual bonus opportunity * Placement within the range is determined by factors ...

VP of Engineering

Palo Alto, CA · On-site

$212K - $273K/yr

Our platform helps utilities improve reliability, safety, and operational efficiency through advanced machine learning and scalable software systems. We are seeking an experienced VP of Engineering ...

Vice President of Engineering

Gainesville, GA · On-site

$167K - $216K/yr

Vice President of Engineering Atlanta, GA (Northeast Suburbs) About the Opportunity Meridian Group Partners has been exclusively retained to identify a Vice President of Engineering for a rapidly ...

VP of Engineering

Lauderdale Lakes, FL · On-site +1

$171K - $221K/yr

The VP of Engineering will help drive the success of the overall business by collaborating with stakeholders internally and externally to set technical direction. The VP of Engineering will have been ...

VP of Engineering

Lauderdale Lakes, FL · Remote

$171K - $221K/yr

The VP of Engineering will help drive the success of the overall business by collaborating with stakeholders internally and externally to set technical direction. The VP of Engineering will have been ...

VP of Engineering

Palo Alto, CA · On-site

$212K - $273K/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 ...

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Vp Of Engineering Machine Learning information

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$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.

VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home

San Francisco, CA • Remote

Next Step Systems
IT Services • 11 - 50 employees

$212K - $273K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 days ago


Job description

Job Description

VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home

As the VP of Engineering Applications, you will turn intelligence into a real product.  The VP of Engineering Applications is responsible for the engineering systems, teams, and execution that turn Machine Learning (ML) capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms.  The VP of Engineering Applications role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery.  This position is 100% Remote.

VP of Engineering Applications Responsibilities:

- Own the application engineering strategy and execution across backend, mobile, and desktop.

- Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.

- Set the architectural direction for Artificial Intelligence (AI)-powered product workflows, APIs, and client integrations.

- Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.

- Partner closely with Machine Learning leadership to translate model capability into shippable product features.

- Make high-impact decisions across latency, cost, reliability, security, and user experience.

- Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift.

- Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.

- Balance speed and discipline shipping quickly without compromising long-term system quality.

VP of Engineering Applications Outcomes:

- Reliable, low-latency Artificial Intelligence (AI) user experiences across backend, mobile, and desktop

- Clear architectural boundaries that allow teams to move fast without constant rewrites.

- Measurable improvements in system performance, stability, and production reliability.

- Strong observability and operational discipline across all application systems.

- A small, senior team that ships frequently, owns what they build, and raises the technical bar.

- Team members are empowered, growing in their roles, and able to make high-impact contributions.

Qualifications

VP of Engineering Applications Qualifications:

- Significant experience leading application or product engineering for complex systems.

- Artificial Intelligence (AI) experience required.

- Strong hands-on background building and shipping backend systems used in production.

- Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs.

- Excellent system design skills across services, APIs, clients, and data flows.

- Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.

- Proven ability to make high-impact technical decisions under ambiguity.

- A strong bias toward shipping, iteration, and learning from real-world usage.

- Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, VP of Engineering Applications, AI, Artificial Intelligence, APIs, Application Engineering, Backend, Desktop, Low Latency, ML, Machine Learning, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a VP of Engineering Applications in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire VPs of Engineering Applications for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.nextstepsystems.com.