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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 Jun 16, 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 does an AI/ML Software Engineering Manager do?

An AI/ML Software Engineering Manager leads teams that design, build, and maintain artificial intelligence and machine learning systems. They are responsible for managing projects, mentoring engineers, setting technical direction, and collaborating with other departments to deliver AI-driven solutions. In addition to technical expertise, they require strong leadership and communication skills to guide teams and ensure that projects align with business goals. Their role often involves staying updated on the latest AI/ML trends and technologies to drive innovation and efficiency within their teams.

How does an AI/ML Software Engineering Manager typically balance hands-on technical work with team leadership responsibilities?

As an AI/ML Software Engineering Manager, you'll often split your time between guiding the technical direction of projects and supporting your team’s growth and productivity. While you may occasionally contribute to code reviews or architecture design, your primary focus will be on mentoring engineers, setting priorities, and ensuring alignment across cross-functional teams like data science, product management, and DevOps. Striking this balance is essential, as you need to stay close enough to the technical details to provide direction, while also fostering a collaborative, high-performing team environment. Most managers find success by delegating technical tasks and empowering senior engineers, which allows them to focus on strategic planning and removing obstacles for the team.

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 are the key skills and qualifications needed to thrive as an AI/ML Software Engineering Manager, and why are they important?

To thrive as an AI/ML Software Engineering Manager, you need a solid background in computer science, machine learning algorithms, and software engineering principles, usually supported by a relevant degree and leadership experience. Familiarity with tools such as Python, TensorFlow, PyTorch, cloud platforms, and knowledge of project management frameworks is often required. Excellent communication, strategic thinking, and team leadership skills help you guide diverse technical teams and align project goals with business objectives. These competencies are critical for driving innovation, ensuring successful project delivery, and maintaining high-performing engineering teams in a rapidly evolving field.
Infographic showing various Ai Ml Software Engineering Manager job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $169,381 per year, or $81.4 per hour.

AI/ML Software Engineer

Cooperidge Consulting Firm

Sarasota, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Cooperidge Consulting Firm is seeking an AI/ML Software Engineer for a leading Defense & Intelligence Technology innovator in Sarasota, FL.
This role is designed for a high-drive engineer with a deep foundation in machine learning and its practical application to complex signal processing and SIGINT (Signals Intelligence). You will be responsible for designing and deploying AI/ML solutions that address critical decision-making needs for the Department of Defense and the Intelligence Community. From analyzing time-series data to developing autonomous sensing systems, you will build adaptive, secure architectures capable of discovering features and inferring system states in dynamic, real-world environments.
Job Responsibilities
  • SIGINT Engineering: Design and implement AI/ML solutions for event characterization, pattern recognition, and anomaly detection within SIGINT sensor systems.
  • Autonomous Systems: Develop and enable autonomous decision-making systems that operate with minimal human intervention in complex environments.
  • Architecture Integration: Partner with team leads to integrate ML capabilities into enterprise-level architectures, prioritizing performant processing and system maintainability.
  • Predictive Modeling: Work with time-series data to develop models for automated analysis and intelligent insights in support of critical national security missions.
  • MLOps Management: Oversee the deployment and processing pipelines, ensuring rigorous testing, validation, and security of all model deployments.
  • Feature Discovery: Infer system states from underlying data streams and create adaptive processing systems for large-scale sensing platforms.

Requirements
Education & Security (Mandatory)
  • Bachelor's degree (BS) or higher in Computer Science, Electrical Engineering, Math, or a related field.
  • ACTIVE TS/SCI Clearance is REQUIRED.
  • U.S. Citizenship is REQUIRED.
Core Experience
  • Minimum of 1 year of professional AI/ML experience (3-5 years highly preferred).
  • Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn.
  • Experience with Neural Network architectures, including Deep Learning and Transformers/Attention mechanisms.
  • Solid programming background with exposure to statistical and signal analysis libraries.
  • Mastery of MLOps principles, including processing pipelines and validation protocols.
Preferred "Nice-to-Have" Skills
  • Understanding of Digital Signal Processing (DSP) fundamentals and RFML.
  • Experience with LLMs, fine-tuning, prompt engineering, and RAG/Agentic systems.
  • Familiarity with containerization (Docker/Kubernetes) and Cloud AI platforms (AWS Bedrock, Vertex AI, etc.).
  • Knowledge of adversarial ML and AI security/robustness techniques.

Benefits
  • Comprehensive health, vision, and dental insurance plans
  • Life insurance coverage
  • 401(k) retirement plan with company matching contributions
  • Paid time off including vacation, sick leave, and holidays
  • Opportunities for career growth and advancement

Apply