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International Machine Learning Engineer Jobs (NOW HIRING)

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Motorola

Machine Learning Engineer

Los Angeles, CA

$150K - $180K/yr

S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

New

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

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International Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Jul 17, 2026, the average yearly pay for international 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.

How does an International Machine Learning Engineer typically collaborate with global teams and manage cross-cultural challenges?

As an International Machine Learning Engineer, you'll often work with diverse teams across different countries and time zones. Effective communication and cultural sensitivity are essential to align on project goals, share models, and address data privacy regulations that vary by region. You'll likely use collaborative tools for code sharing and version control, and participate in regular virtual meetings to synchronize efforts. Understanding local data nuances and legal requirements is also a key part of the role, making flexibility and adaptability important for success.

What is an International Machine Learning Engineer?

An International Machine Learning Engineer is a professional who designs, builds, and maintains machine learning systems that operate across multiple countries or regions. Their work involves developing algorithms and models that can handle diverse datasets, languages, and regulatory requirements. They may collaborate with global teams to ensure that AI solutions are both scalable and adaptable to varied cultural and technical environments. This role often requires expertise in machine learning frameworks, data engineering, and knowledge of international data privacy laws.

What are the key skills and qualifications needed to thrive as an International Machine Learning Engineer, and why are they important?

To thrive as an International Machine Learning Engineer, you need a solid background in computer science, statistics, and mathematics, typically supported by a degree in a related field and experience with machine learning algorithms. Expertise in programming languages such as Python or R, familiarity with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms are essential, along with certifications like AWS Certified Machine Learning or Google Professional ML Engineer. Strong problem-solving, cross-cultural communication, and adaptability are important soft skills for collaborating with global teams and addressing diverse datasets. These skills are critical for building scalable, effective ML solutions that meet international standards and user needs.
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International Machine Learning Engineer jobs near you
Infographic showing various International Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Kanak Elite Services Inc

Bodega Bay, CA • Remote

Contractor

Posted yesterday

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Title:  Machine Learning Engineer
Location:  South San Francisco, CA  - hybrid role in Bay Arear
Position Type:  Contract 
 

Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, 

Work on ML workflows for molecular property prediction & generative modeling to accelerate drug discovery. 3–5 yrs esp. or PhD with publications in molecular design.

Must have Masters or PH.D. Must have experience in working environment or while getting Master’s or no to very little work exp with PH.D  in Molecular design. Need to have portfolio of their work or be published. Find me Machine Learning with Molecular experience in Bay Area or someone who will relocate as last resort. 
MindSource is looking for a Machine Learning Engineer to join our client's team in South San Francisco, CA.  They will be developing and deploying advanced computational methods for molecular design.  This is a 12-month hybrid contract.  

About the Role

  • Build pipelines for probabilistic molecular property prediction and Bayesian acquisition to power active learning–driven drug discovery.
  • Engineer workflows for molecular generative modeling and other innovative design approaches.
  • Collaborate with machine learning scientists, engineers, computational chemists, and biologists.
  • Partner with therapeutic development teams to analyze existing molecules and design new candidates.
  • Contribute to ongoing initiatives while driving new research directions.

Qualifications

  • PhD in Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics, or related quantitative field — OR MS + 3+ years of relevant industry experience.
  • Demonstrated expertise in production-ready ML workflows (e.g., PyTorch + Lightning + Weights & Biases).
  • Strong track record of achievement (e.g., high-impact first-author publication or equivalent).
  • Excellent written, visual, and verbal communication skills.

Preferred Experience

  • Knowledge of physical modeling (e.g., molecular dynamics) and cheminformatics (e.g., RDKit).
  • Background in molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, or statistical methods.
  • Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch.
  • Public portfolio of computational projects (e.g., GitHub).