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Applied Machine Learning Engineer Jobs (NOW HIRING)

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

They are seeking an Applied Machine Learning Engineer to develop products for their clients and the greenhouse industry, focusing on creating machine learning models and retraining systems.

Fireworks AI

Applied Machine Learning Engineer

New York, NY · On-site

$170K - $240K/yr

As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and ...

Apex Informatics

Machine Learning Engineer

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash Employment Type: Contract (3 months ...

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

As an Applied ML team, we are pushing the boundaries to provide our users with the utmost optimal ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

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Applied Machine Learning Engineer information

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$31.5K

$128.8K

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How much do applied machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for applied machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What does an applied machine learning engineer do?

An Applied Machine Learning Engineer designs, develops, and implements machine learning models to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to deploy scalable and efficient machine learning solutions. Their responsibilities include selecting appropriate algorithms, preprocessing data, training models, evaluating performance, and integrating models into production systems. They also monitor and maintain these systems to ensure they deliver accurate and reliable results over time.

What are the key skills and qualifications needed to thrive as an applied machine learning engineer?

To thrive as an Applied Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of statistics, algorithms, and machine learning concepts, typically backed by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems, as well as experience with data preprocessing, are essential. Problem-solving ability, effective communication, and the ability to work collaboratively make someone stand out in this role. These skills are crucial for designing, implementing, and deploying robust ML solutions that address real-world business challenges.

What are some common challenges an applied machine learning engineer faces when transitioning models from research to production?

Applied Machine Learning Engineers often encounter challenges such as ensuring models perform robustly with real-world data, optimizing for computational efficiency, and integrating with existing engineering infrastructure. Unlike research prototypes, production models must handle scalability, latency, and reliability concerns. Collaborating closely with data engineers, software developers, and product managers is essential to address these obstacles and ensure seamless deployment and ongoing monitoring.
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Applied Machine Learning Engineer jobs near you
Infographic showing various Applied Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Applied Machine Learning Engineer

IUNU

Seattle, WA • On-site

Full-time

Re-posted just now

Job description

At IUNU ("you knew'), we're revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.
Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we'd like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications.
Responsibilities
  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field

Requirements
  • 3-5 years of proven experience as a Machine Learning Engineer or a similar role
  • Strong experience with Deep Learning
  • Understanding of data structures, data modeling, and software architecture
  • Deep knowledge of math, probability, statistics, and algorithms
  • Ability to write robust code in Python, Java, and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics, or a similar field; a Master's degree is a plus

Diversity
At IUNU, we're committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.

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