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Ml Manager Jobs (NOW HIRING)

Reddit

Engineering Manager, Ads ML Efficiency

About the Role Reddit is building a dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. As the Engineering Manager for this ...

CACI

Staff AI/ML Engineering Manager

Aurora, CO · On-site

Staff AI/ML Engineering Manager Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

Tata Consultancy Service Limited

ML Engineer

Deerfield, IL · On-site

$110K - $135K/yr

Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming ...

Tatari

Principal Product Manager, AI/ML

San Francisco, CA · On-site

$190K - $225K/yr

As Principal Product Manager, AI/ML, you set the multi-year vision and strategy for Tatari's AI/ML recommendation and prediction products - one of the company's highest-leverage strategic bets. You ...

Tatari

Principal Product Manager, AI/ML

New York, NY · On-site

$190K - $225K/yr

As Principal Product Manager, AI/ML, you set the multi-year vision and strategy for Tatari's AI/ML recommendation and prediction products - one of the company's highest-leverage strategic bets. You ...

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How much do ml manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ml manager in the United States is $61,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $69,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Ml Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $61,351 per year, or $29.5 per hour.

Engineering Manager, Merchant, AI/ML

San Francisco, CA • On-site

Polluxa, Inc.
See more jobs at Polluxa, Inc.external

$250/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Team

The Merchant (Mx) AI/ML team is a cornerstone of DoorDash’s merchant organization. We empower our restaurant partners to thrive on DoorDash by building intelligent, scalable AI systems that simplify operations, elevate their digital presence, and enhance customer engagement.

Our world-class machine learning engineers develop production-grade AI solutions that power the entire merchant lifecycle — from onboarding and store setup to menu management, growth, and real-time order operations. The team is deeply customer-obsessed and impact-driven, focused on turning cutting-edge research in LLMs, multimodal learning, generative AI, and agentic automation into products that make our merchants more successful every day.

About the Role

We’re looking for an Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next-generation AI product solutions that power our merchant experiences.

This is a highly cross-functional leadership role — you’ll collaborate with product, design, operations, and data science teams to define the AI roadmap, guide technical direction, and deliver end-to-end AI/ML solutions at massive scale.

You’ll lead a team of talented ML engineers who are building real AI products delivered to merchants’ fingertips, helping them become more successful on DoorDash.

You’re excited about this opportunity because you will…
  • Lead and grow a team of exceptional AI/ML engineers developing production-grade machine learning and generative AI solutions for the merchant ecosystem.
  • Define a multi-year strategy and execute the AI roadmap across key Mx pillars — Onboarding, Menu Media Understanding & Generation, Menu Metadata Intelligence, and Agentic Task Automation.
  • Partner with product and operations to translate merchant pain points into scalable AI-powered solutions.
  • Own the end-to-end lifecycle of ML systems — from ideation and experimentation to productionization and continuous improvement.
  • Drive innovation in multimodal AI, LLM-driven assistants, and GenAI content creation.
  • Foster a strong engineering culture emphasizing experimentation, reliability, and measurable business impact.
  • Mentor and develop engineers, shaping the next generation of applied AI leadership at DoorDash.
We're excited about you because you have…
  • 7+ years of industry experience in machine learning and AI engineering, including 2+ years of leadership experience managing applied scientists and ML engineers.
  • A proven track record of building and deploying AI/ML systems at scale, with shipped AI-powered products that have reached millions of users.
  • Broad knowledge of machine learning and technical depth in one or more areas: computer vision, natural language processing, generative models, or large-scale agent systems.
  • Strong communication skills and the ability to partner effectively with cross-functional stakeholders.
  • A demonstrated ability to define clear roadmaps and execution plans to deliver team success.
  • A passion for building teams, mentoring talent, and cultivating an inclusive, high-impact culture.
  • Experience at the intersection of product and engineering, using AI to solve real customer problems.
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