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How much do machine learning chemistry jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for machine learning chemistry in the United States is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in machine learning chemistry?

To thrive in a Machine Learning Chemistry role, you need a solid background in chemistry, expertise in data science and machine learning algorithms, and typically an advanced degree in chemistry, computer science, or a related field. Familiarity with programming languages like Python or R and experience working with cheminformatics tools and machine learning frameworks (such as TensorFlow or scikit-learn) are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills enable professionals to bridge the gap between computational work and experimental research teams. These competencies are crucial for developing innovative solutions in chemical research and ensuring successful collaboration across interdisciplinary teams.

What is a machine learning chemistry?

A Machine Learning Chemistry job involves using artificial intelligence techniques to analyze chemical data, model molecular behaviors, and accelerate discoveries in chemistry-related fields. Professionals in this role develop and apply machine learning algorithms to predict chemical properties, optimize reactions, and assist in drug design, material science, and other applications. They typically work in pharmaceuticals, materials science, or environmental chemistry, collaborating with chemists, data scientists, and engineers to solve complex chemical problems efficiently.

What does a machine learning chemistry do?

Professionals in Machine Learning Chemistry often work on projects such as developing predictive models for chemical property analysis, optimizing molecular structures, or advancing drug discovery through data-driven methods. Daily tasks may include data preprocessing, building and training machine learning models, validating results, and interpreting outcomes in collaboration with experimental chemists. Teamwork is common, with regular interactions between chemistry researchers, data scientists, and software engineers. This structure allows for iterative feedback and ensures that computational models align with practical lab needs. Continuous learning and adaptation are also key, as both the chemistry and machine learning fields are rapidly evolving.

More about Machine Learning Chemistry jobs
What cities are hiring for Machine Learning Chemistry jobs? Cities with the most Machine Learning Chemistry job openings:
What are the most commonly searched types of Machine Learning Chemistry jobs? The most popular types of Machine Learning Chemistry jobs are:
What states have the most Machine Learning Chemistry jobs? States with the most job openings for Machine Learning Chemistry jobs include:
What job categories do people searching Machine Learning Chemistry jobs look for? The top searched job categories for Machine Learning Chemistry jobs are:
Machine Learning Chemistry jobs near you
Infographic showing various Machine Learning Chemistry job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,292 per year, or $22.3 per hour.

Machine Learning Engineer, AI for Chemistry project

X, the moonshot factory

Mountain View, CA • On-site

Full-time

Re-posted 24 days ago

Job description

M a c h i n e L e a r n i n g E n g i n e e r , A I f o r C h e m i s t r y p r o j e c t
Software Engineering Mountain View, CA (HQ)
About X, the Moonshot Factory
X is a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world's most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
About the team
We're X's AI for chemistry moonshot, applying AI to supercharge processes related to the manufacturing of existing chemical compounds. We're an agile team of experienced AI researchers, software engineers, and entrepreneurs working with partners and customers around the world. We're looking for people who are passionate about working at the intersection of AI and science. You'll be part of a fast-paced team that has the agility and impact of an early stage company, while building on world-class Google AI technology.
About the role
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying state-of-the-art multi-modal models. This role requires a deep passion for problem-solving and experimentation, moving across the full range of applied machine learning tasks from initial prototyping to building full-scale, robust solutions. While you will primarily focus on core product development, you will also serve as a critical bridge between cutting-edge AI research and real-world enterprise applications. You will be a key player in our mission to accelerate scientific discovery through machine learning.
How you will have 10X impact:
  • Design and build end-to-end machine learning pipelines for training, evaluation, and deployment.
  • Develop and fine-tune sophisticated multi-modal models using frameworks like PyTorch and libraries from the Hugging Face ecosystem.
  • Leverage Google Cloud Platform (GCP) services to deploy and scale our ML models and infrastructure.
  • Collaborate with cross-functional teams of scientists and engineers to translate research ideas into production-ready solutions.
  • Stay current with the latest advancements in machine learning, particularly in multi-modal learning and generative models.

What you should have:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • A foundational knowledge of organic chemistry concepts or experience working with chemical data (e.g., SMILES strings, molecular graphs).
  • Proven experience building and training deep learning models using PyTorch and the Hugging Face library
  • Demonstrated experience with Large Language Models (LLMs), multi-modal models (e.g., Vision Language Models (VLMs)) and computer vision models (eg. OCR)
  • Knowledge of Google Cloud Platform (GCP) and its core services for machine learning and data processing.
  • Excellent programming skills in Python and a solid understanding of software engineering best practices.
  • Experience with large-scale data processing and database management (e.g., PostgreSQL, SQLAlchemy).
  • Experience in start-up or small team environments

It'd be great if you also had these:
  • Published research papers in relevant fields
  • Hands-on experience with MLOps principles and tools (e.g., Kubeflow, MLflow, Vertex AI Pipelines) and DevOps practices (e.g., CI/CD, Docker, Kubernetes, Terraform).

The US base salary range for this full-time position is $118,000 - $162,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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