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Ai Ml Software Engineering Manager Jobs (NOW HIRING)

Atomic Canyon

$150K - $225K/yr

Work closely with nuclear experts to ensure AI models accurately interpret industry-specific content Who You Are * 3+ years of experience in AI/ML software engineering * Strong background in natural ...

CATHEXIS

AI/ML Software Developer

Redwood City, CA · On-site

$137K - $167K/yr

Our core capabilities are our top-tier program and project management, data analytics, and audit ... Passion for developing team-oriented solutions to complex engineering problems. * Proficient in ...

Saanvi Technologies

Senior AI/ML Software Engineer

Dearborn, MI · On-site

$112K - $148K/yr

Senior AI/ML Software Engineer Dearborn, MI W2 Position Description: Employees in this job function ... Full-stack software engineering roles, who can develop all components of software including user ...

CATHEXIS

AI/ML Software Developer

Redwood City, CA · On-site

$137K - $167K/yr

Our core capabilities are our top-tier program and project management, data analytics, and audit ... Passion for developing team-oriented solutions to complex engineering problems. * Proficient in ...

General Electric Company

AI/ML Software Engineer

$95K - $140K/yr

Minimum of 3 years in AI/ML engineering experience. * GE Aerospace will not sponsor individuals for ... managing risks like hallucinations or bias. * The role requires building prototype-level data ...

TIAG

Senior AI-ML Integration Software Engineer

Reston, VA · On-site

$150K - $175K/yr

AWS Bedrock knowledge, including API usage to manage foundation models, guardrails, or agent ... Experience with vector embeddings, prompt engineering, and cloud‑native NoSQL data stores. Equal ...

Cathexisfederal

$137K - $167K/yr

Our core capabilities are our top-tier program and project management, data analytics, and audit ... Passion for developing team-oriented solutions to complex engineering problems. * Proficient in ...

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Ai Ml Software Engineering Manager information

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$99.5K

$169.4K

$200.5K

How much do ai ml software engineering manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai ml software engineering manager in the United States is $169,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Ml Software Engineering Manager vs Data Scientist?

AspectAi Ml Software Engineering ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI/ML projectsBachelor's/Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentLeads engineering teams, manages projects, collaborates with product teamsAnalyzes data, builds models, interprets data insights
Employer & Industry UsageTech companies, AI startups, large enterprises with AI initiativesResearch institutions, tech firms, finance, healthcare

The Ai Ml Software Engineering Manager oversees AI/ML engineering teams and manages project development, while Data Scientists focus on analyzing data and building models. Both roles require strong technical backgrounds, but their responsibilities and work environments differ significantly.

What is the salary of AI ML software engineering manager?

The salary of an AI ML Software Engineering Manager typically ranges from $120,000 to $180,000 annually, depending on experience, location, and company size. Senior roles with specialized skills in machine learning, deep learning, and cloud platforms may offer higher compensation, often supplemented with bonuses and stock options.

What are popular job titles related to Ai Ml Software Engineering Manager jobs?

For Ai Ml Software Engineering Manager jobs, the most frequently searched job titles are:

Infographic showing various Ai Ml Software Engineering Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $169,381 per year, or $81.4 per hour.

AI/ML Software Engineer

Bodega Bay, CA • On-site

iTradeNetwork, Inc.
Software Development • 201 - 500 employees
Learn more about iTradeNetwork, Inc.external

$40/hr

Full-time

Re-posted 26 days ago

Key responsibilities

  • Build and ship AI-powered full stack applications, including model integration and user-facing interfaces.

  • Partner with data scientists to bring ML models into production by wrapping them in APIs, optimizing inference pipelines, and monitoring performance.

  • Own end-to-end data pipelines supporting model training, validation, and deployment workflows.

Job description

JOB SUMMARY

We are building an AI-first company - which means AI isn't a feature we bolt on; it's the foundation of how we design products, make decisions, and ship software. As an Associate AI/ML Full Stack Developer, you'll be on the front lines of that mission: building intelligent, production-ready applications that put machine learning at the core of the user experience.

This is a role for someone who wants to grow fast. You'll work alongside experienced engineers and data scientists on real problems, ship code that matters, and develop deep expertise at the intersection of AI/ML and full stack development - all in service of one of the most consequential industries in the world.

Key Responsibilities:
  • Build and ship AI-powered full stack applications - from model integration to user-facing interfaces - using modern frameworks and cloud-native infrastructure.
  • Partner with data scientists to bring ML models into production: wrapping them in APIs, optimizing inference pipelines, and monitoring performance in live environments.
  • Own end-to-end data pipelines that support model training, validation, and deployment workflows.
  • Develop frontend experiences (React or similar) that surface AI-driven insights in intuitive, responsive interfaces.
  • Contribute to backend services and microservices that power model serving, data ingestion, and business logic.
  • Participate in code reviews and collaborative design discussions - learning from senior engineers while sharing your own perspective.
  • Stay current with the AI/ML landscape: new architectures, tooling, and frameworks move fast, and so do we.
What you'll need:

Required:

  • Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience).
  • Solid grounding in data structures, algorithms, and object-oriented programming.
  • Understanding of core AI/ML concepts: supervised and unsupervised learning, neural networks, model evaluation.
  • Proficiency in at least one backend language - Python strongly preferred given its centrality to the ML ecosystem.
  • Hands-on experience with web development (React, Angular, or comparable framework).
  • Comfort with both SQL and NoSQL databases.
  • A problem-solving mindset and genuine curiosity about how AI can change the way software works.

Nice to Have:

  • Experience with Python ML libraries: TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying ML workloads in the cloud.
  • Exposure to LLM APIs, prompt engineering, or retrieval-augmented generation (RAG) patterns.
  • Knowledge of MLOps tooling: experiment tracking, model registries, CI/CD for ML pipelines.
  • Project or coursework experience building AI/ML applications end-to-end.

Who you are:

  • You think AI-first - when approaching a problem, your instinct is to ask how intelligence can be built into the solution, not added as an afterthought.
  • You move fast and learn faster. You're comfortable with ambiguity and excited by the pace of change in the AI space.
  • You communicate clearly and collaborate naturally across disciplines - you can talk to a data scientist about model architecture and to a product manager about tradeoffs.
  • You take ownership. You don't wait to be told what to do next; you find the next important thing and work on it.
  • You care about craft - clean code, thoughtful documentation, and systems that are built to last.

Base Compensation: $40/hr

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