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Applied Ml Engineer Jobs (NOW HIRING)

Apple Inc.

We are looking for an experienced Applied ML Engineer who has a proven track record of shipping production models. The ideal candidate is passionate about tackling complex safety and security ...

Sila

Staff Applied ML Engineer

Alameda, CA · On-site

... engineering or operational contexts * Manufacturing experience is a plus, but we welcome candidates from adjacent operational domains with strong applied modeling and deployment experience The ...

Sila

Staff Applied ML Engineer

Alameda, CA · On-site

... engineering or operational contexts * Manufacturing experience is a plus, but we welcome candidates from adjacent operational domains with strong applied modeling and deployment experience The ...

Sila

Staff Applied ML Engineer

Alameda, CA

... engineering or operational contexts * Manufacturing experience is a plus, but we welcome candidates from adjacent operational domains with strong applied modeling and deployment experience The ...

Octave X

ML Engineer

Chicago, IL · On-site

$180K - $260K/yr

The role bridges applied ML engineering and production reliability for regulated and high-trust environments. Chicago, IL or Remote (US) Full-time $180,000 - $260,000 USD + equity Role Snapshot Team ...

Docker, Inc

ML Engineer

They are seeking a ML Engineer to be a founding member of their Intelligence Org, focusing on ... Required : • 5+ years of deep applied ML/AI expertise with a track record of shipping production ...

Gametime United

Head of Applied Machine Learning

OR · On-site +1

This role is ideal for a hands-on, applied ML leader who thrives at the intersection of modeling excellence and business understanding. You will work closely with Product, Data, Engineering, and ...

Autonomize Inc

ML/LLM Engineer - Applied AI

Austin, TX · On-site

The Opportunity We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world ... This is a mid to senior-level role for someone who's ready to go deep on applied ML problems - from ...

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Applied Ml Engineer information

Are applied ML engineers still in demand?

Applied machine learning engineers are currently in high demand due to the increasing adoption of AI and data-driven solutions across industries. Skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch enhance job prospects, which are expected to remain strong as AI integration continues to grow.

What does an applied machine learning engineer do?

An applied machine learning engineer develops and implements machine learning models to solve real-world problems, often working with large datasets and tools like Python, TensorFlow, or PyTorch. They focus on deploying models into production environments, optimizing performance, and ensuring scalability and reliability of AI solutions.

What cities are hiring for Applied Ml Engineer jobs?

Cities with the most Applied Ml Engineer job openings:

What states have the most Applied Ml Engineer jobs?

States with the most job openings for Applied Ml Engineer jobs include:

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For Applied Ml Engineer jobs, the most frequently searched job titles are:

Infographic showing various Applied Ml Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AIML - Applied ML Engineer, Responsible AI and Safety

On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Apple Inc.external

Other

Posted 11 days ago

Key responsibilities

  • Design, build, and deploy production-grade machine learning models to detect and mitigate abuse across multiple modalities (text, image, audio).

  • Own the full machine learning lifecycle, including prototyping, data analysis, deployment, monitoring, and continuous improvement of models in production.

  • Collaborate with cross-functional teams to define project requirements, establish technical direction, and deliver security solutions.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

AIML - ML Engineer, Responsible AI and Safety

Cupertino, California, United States Machine Learning and AI

Join a team at the forefront of defending Apple's ecosystem. We build the large-scale machine learning systems that protect millions of users from emerging threats and ensure the integrity of our products. We are looking for an experienced Applied ML Engineer who has a proven track record of shipping production models. The ideal candidate is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy the critical machine learning systems that are foundational to the safety of Apple's products, all while upholding our deep commitment to user privacy.

Description

As engineer on this team, you will own the full lifecycle of our abuse detection machine learning models. You will collaborate closely with researchers to understand the threat landscape and partner with software and product teams to deploy robust, scalable defenses. We believe the most effective security systems are built by engineers who can translate adversarial insights into production-ready code. Your work will directly contribute to the architecture of Apple's AI platform and protect users from real-world harm.

  • Design, build, and deploy production-grade ML models to detect and mitigate abuse across multiple modalities (text, image, audio).
  • Own the full ML lifecycle: from prototyping and data analysis to deployment, monitoring, and the continuous improvement of models in production.
  • Drive the data strategy to continuously improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems.
  • Architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real-time.
  • Collaborate with cross-functional partners in engineering, research, and product to define project requirements, establish technical direction, and deliver robust security solutions.
Minimum Qualifications
  • 2+ years experience shipping machine learning models to production. You have owned the end-to-end lifecycle of a model, from development to deployment and maintenance.
  • Strong familiarity with research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
  • Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
  • Ability to work with sensitive and offensive content as part of building robust security and abuse detection systems.
Preferred Qualifications
  • BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
  • Hands-on experience with fine-tuning or aligning large language models for security or safety applications.
  • Experience building large-scale data processing pipelines and ML infrastructure.
  • Experience driving technical projects and collaborating with large, diverse, cross-functional teams.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple's workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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Benefits

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Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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