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Ai Ml Software Engineering Manager Jobs (NOW HIRING)

SkyGig

ML Software Engineer Intern

San Jose, CA

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...

Frontier Technology Inc.

Write clean, testable, and maintainable code following secure coding and software engineering best ... Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.

Frontier Technology Inc.

AI/ML Software Engineer

Dayton, OH · Remote

$140K - $220K/yr

Write clean, testable, and maintainable code following secure coding and software engineering best ... Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.

Frontier Technology Inc.

AI/ML Software Engineer

Dayton, OH · Remote

$140K - $220K/yr

Write clean, testable, and maintainable code following secure coding and software engineering best ... Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.

Raft

Lead AI/ML Software Engineer

Honolulu, HI · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... Establish strong engineering foundations and reusable technical patterns that improve developer ...

Raft

Lead AI/ML Software Engineer

Tampa, FL · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... Establish strong engineering foundations and reusable technical patterns that improve developer ...

Raft

Lead AI/ML Software Engineer

Honolulu, HI

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... Establish strong engineering foundations and reusable technical patterns that improve developer ...

Raft

Lead AI/ML Software Engineer

Tacoma, WA · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... Establish strong engineering foundations and reusable technical patterns that improve developer ...

Raft

Lead AI/ML Software Engineer

Boston, MA

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... Establish strong engineering foundations and reusable technical patterns that improve developer ...

Raft

Lead AI/ML Software Engineer

Boston, MA · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... Establish strong engineering foundations and reusable technical patterns that improve developer ...

Raft

Lead AI/ML Software Engineer

Reston, VA · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... Establish strong engineering foundations and reusable technical patterns that improve developer ...

Analog Devices

Senior Engineer, AI/ML Software

Boston, MA · On-site

$178K - $216K/yr

Collaborate with cross-functional teams, including product managers, UX designers, and software ... Must have a Master's degree in Computer Science, Computer Engineering, Software Engineering, Data ...

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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.

ML Software Engineer Intern

SkyGig

San Jose, CA

Full-time

Posted 14 days ago

Job description

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new hardware innovations forward.
We are looking for motivated problem solvers with strong machine learning and software development skills, with an interest in applying AI to complex technical challenges at the intersection of software and hardware design. Join our collaborative and innovative team as we work to transform the future of circuit design.


Responsibilities
As our ML software engineer your primary responsibilities will include:

  • Designing, building, training, and evaluating machine learning models that support circuit design workflows.
  • Developing models for circuit performance prediction, design-space optimization, and simulation acceleration.
  • Building data pipelines and model-training workflows using simulation results, measurement data, circuit parameters, and design constraints.
  • Working with a cross-functional team to understand model requirements and translate engineering needs into ML solutions.
  • Preparing technical documentation and reports.
  • Participating in design reviews, brainstorming sessions, and technical discussions.

We are considering full-time/ part-time applicants for Summer and Fall 2026.
The ideal candidate will have strong technical competency, curiosity, and the ability to take ownership of a well-defined project. They should also be excited to adapt, learn quickly, and grow in a fast-paced startup environment.

Requirements

Minimum Requirements:

  • Currently pursuing a degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field.
  • Strong programming skills in Python with experience in scripting and automation.
  • familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Understanding of software engineering principles, code organization, and collaborative development practices.
  • Experience with data processing libraries such as pandas, NumPy, and SciPy.
  • Understanding of methods for evaluating, validating, and improving AI/ML model performance in real-world applications.
  • Strong collaboration and communication skills.

Benefits

  • Paid, full-time, onsite internship at our Bay Area, CA location with competitive salary
  • Opportunity to work with a collaborative and ambitious team developing disruptive products.
  • Opportunities for growth, leadership, and project ownership in a dynamic startup environment.

Apply